Anthropic SDK Integration (Python / TypeScript)

Call 1zheAI using the official Anthropic SDK: set base_url to https://1zheai.com. Natively supports caching, streaming, tool calls, and thinking.

The official Anthropic SDK uses the native /v1/messages, so all Claude parameters can be used directly. The only things to change are base_url and api_key.

pip install anthropic

npm install @anthropic-ai/sdk

Calling

Python
TypeScript

import os
import anthropic

client = anthropic.Anthropic(
    base_url="https://1zheai.com",
    api_key=os.environ["ONEZHE_API_KEY"],
)

message = client.messages.create(
    model="claude-sonnet-5-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "用一句话介绍你自己"}],
)
print(message.model)
print(message.content[0].text)
print(message.usage)

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({
  baseURL: "https://1zheai.com",
  apiKey: process.env.ONEZHE_API_KEY,
});

const message = await client.messages.create({
  model: "claude-sonnet-5-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "用一句话介绍你自己" }],
});
console.log(message.model);
console.log(message.content);
console.log(message.usage);

Fill in the root address in base_url; do not add /v1.

Streaming Output

Python
TypeScript

with client.messages.stream(
    model="claude-sonnet-5-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "写一首四行的诗"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

const stream = client.messages.stream({
  model: "claude-sonnet-5-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "写一首四行的诗" }],
});
stream.on("text", (text) => process.stdout.write(text));
await stream.finalMessage();

Calls with Caching

Put long, fixed content into system and add cache_control:

1
message = client.messages.create(
2
    model="claude-sonnet-5-5",
3
    max_tokens=1024,
4
    system=[
5
        {
6
            "type": "text",
7
            "text": LONG_PROJECT_CONTEXT,  # 每次都一样的长文本
8
            "cache_control": {"type": "ephemeral"},
9
        }
10
    ],
11
    messages=[{"role": "user", "content": "根据上面的说明回答：..."}],
12
)
13
print(message.usage.cache_creation_input_tokens, message.usage.cache_read_input_tokens)

On the second call, if cache_read_input_tokens is greater than 0, it was a cache hit. See Prompt Caching for details.

Using Environment Variables

The official SDK reads ANTHROPIC_BASE_URL and ANTHROPIC_API_KEY, so you can skip passing parameters when constructing the client:

1
export ANTHROPIC_BASE_URL="https://1zheai.com"
2
export ANTHROPIC_API_KEY="sk-你的Key"

Then construct the client without passing parameters:

1
client = anthropic.Anthropic()  # 自动读取上面两个变量

If Claude Code on this machine also reads these two variables, they will both switch to 1zheAI, which is usually exactly what you want.

FAQ

404？

base_url has an extra /v1. The Anthropic SDK will assemble /v1/messages itself.

401？

Check the API key (API key); additionally, if ANTHROPIC_AUTH_TOKEN exists in the environment at the same time (for example, an old value previously set for Claude Code), the SDK will also read it — delete the old value and try again.

Request and Response Structure

To query system, content blocks, and stop reasons, see Messages API Details. A complete program should read text by content block type and not assume the first block is always text.