Anthropic SDK Integration

Use the Anthropic SDK with AI SpendOps for accurate usage tracking of Claude models.

Python

from anthropic import Anthropic

client = Anthropic(
    api_key="sk-ant-your-key",
    base_url="https://proxy.aispendops.com/v1/anthropic",
    default_headers={
        "X-ASO-API-Key": "aso_k_yourkey.secret",
        "X-ASO-Dims": "team=ml,app=assistant",
    },
)

message = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Streaming

with client.messages.stream(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Write a haiku"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="")

TypeScript / Node.js

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

const client = new Anthropic({
  apiKey: "sk-ant-your-key",
  baseURL: "https://proxy.aispendops.com/v1/anthropic",
  defaultHeaders: {
    "X-ASO-API-Key": "aso_k_yourkey.secret",
    "X-ASO-Dims": "team=backend,app=assistant",
  },
});

const message = await client.messages.create({
  model: "claude-sonnet-4-5-20250929",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Hello" }],
});
console.log(message.content[0].text);

Use the native endpoint

Always use Anthropic's native /v1/messages endpoint (which the Anthropic SDK uses by default) rather than the OpenAI-compatible /v1/chat/completions. The native endpoint provides accurate streaming usage data including cache token breakdowns.