Anthropic

npm install @zespan/sdk @anthropic-ai/sdk

pip install zespan anthropic

import Anthropic from "@anthropic-ai/sdk";
import { zespan } from "@zespan/sdk";

zespan.init({ apiKey: process.env.ZESPAN_API_KEY! });

const anthropic = zespan.wrapAnthropic(new Anthropic());

import os
import zespan

zespan.init(api_key=os.environ["ZESPAN_API_KEY"])
zespan.patch_anthropic()

import anthropic  # import after patching
client = anthropic.Anthropic()

const message = await anthropic.messages.create({
  model: "claude-sonnet-4-6",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain observability in one paragraph." }],
});

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain observability in one paragraph."}],
)

const message = await anthropic.messages.create({
  model: "claude-sonnet-4-6",
  max_tokens: 1024,
  tools: [
    {
      name: "get_weather",
      description: "Get current weather",
      input_schema: {
        type: "object",
        properties: { location: { type: "string" } },
        required: ["location"],
      },
    },
  ],
  messages: [{ role: "user", content: "What's the weather in Paris?" }],
});

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    tools=[
        {
            "name": "get_weather",
            "description": "Get current weather",
            "input_schema": {
                "type": "object",
                "properties": {"location": {"type": "string"}},
                "required": ["location"],
            },
        }
    ],
    messages=[{"role": "user", "content": "What's the weather in Paris?"}],
)

const stream = anthropic.messages.stream({
  model: "claude-haiku-4-5",
  max_tokens: 512,
  messages: [{ role: "user", content: "Count to ten." }],
});

for await (const chunk of stream) {
  if (chunk.type === "content_block_delta") {
    process.stdout.write(chunk.delta.text ?? "");
  }
}

stream = client.messages.create(
    model="claude-haiku-4-5",
    max_tokens=512,
    stream=True,
    messages=[{"role": "user", "content": "Count to ten."}],
)

for event in stream:
    if event.type == "content_block_delta" and event.delta.type == "text_delta":
        print(event.delta.text, end="")