开发者层 完整手册

# 安装：pip install anthropic
import anthropic

client = anthropic.Anthropic()  # 自动读取 ANTHROPIC_API_KEY

message = client.messages.create(
    model="claude-opus-4-8",
    max_tokens=1024,
    system="你是一个资深解决方案工程师。",
    messages=[
        {"role": "user", "content": "用一句话解释提示缓存。"}
    ],
)
print(message.content[0].text)

// 安装：npm install @anthropic-ai/sdk
import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic();  // 读取 ANTHROPIC_API_KEY

const message = await client.messages.create({
  model: "claude-opus-4-8",
  max_tokens: 1024,
  system: "你是一个资深解决方案工程师。",
  messages: [
    { role: "user", content: "用一句话解释提示缓存。" }
  ],
});
console.log(message.content[0].text);

// 模型的响应（stop_reason 变为 "tool_use"）
{
  "stop_reason": "tool_use",
  "content": [
    {
      "type": "tool_use",
      "id": "toolu_01A09q90...",
      "name": "get_weather",
      "input": { "city": "北京" }
    }
  ]
}

# 执行函数后，把结果作为新一轮 user 消息回传
messages=[
    {"role": "user", "content": "北京天气怎么样？"},
    {"role": "assistant", "content": previous_content},  # 含 tool_use
    {"role": "user", "content": [
        {
            "type": "tool_result",
            "tool_use_id": "toolu_01A09q90...",
            "content": "晴，22°C"
        }
    ]}
]

const stream = await client.messages.create({
  model: "claude-opus-4-8",
  max_tokens: 1024,
  messages: [{ role: "user", content: "写一首关于海的短诗" }],
  stream: true,
});
for await (const event of stream) {
  if (event.type === "content_block_delta")
    process.stdout.write(event.delta.text ?? "");
}

event: message_start
data: {"type":"message_start","message":{...}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,
       "delta":{"type":"text_delta","text":"海"}}

event: message_stop
data: {"type":"message_stop"}

# 轮询批次状态，完成后取结果
result = client.messages.batches.retrieve(batch.id)
if result.processing_status == "ended":
    for entry in client.messages.batches.results(batch.id):
        print(entry.custom_id, entry.result)