Anthropic Messages
Anthropic 原生格式的訊息端點,適用 Claude 系列模型。也可以透過 OpenAI 格式的聊天補全端點呼叫 Claude 模型。
请求REQUEST
POST
https://test.kailin.com.cn/v1/messages响应RESPONSE
填写参数并发送请求,响应会显示在这里
請求
curl https://test.kailin.com.cn/v1/messages \
-H "Content-Type: application/json" \
-H "x-api-key: sk-your-token" \
-H "anthropic-version: 2023-06-01" \
-d '{
"model": "claude-sonnet-4-6",
"max_tokens": 1024,
"messages": [
{ "role": "user", "content": "Hello, introduce yourself" }
]
}'
備註
x-api-key: sk-xxx 與 Authorization: Bearer sk-xxx 兩種請求標頭都可用。anthropic-version 標頭可傳可不傳。
請求主體參數
| 參數 | 類型 | 必填 | 說明 |
|---|---|---|---|
model | string | 是 | Claude 模型名稱 |
max_tokens | number | 是 | 最大生成 token 數(Anthropic 格式必填) |
messages | array | 是 | 訊息陣列;role 只有 user / assistant |
system | string / array | 否 | 系統提示詞,獨立於 messages 傳入 |
stream | boolean | 否 | 串流輸出(SSE,事件類型見下方) |
temperature | number | 否 | 0–1,預設 1 |
top_p / top_k | number | 否 | 取樣參數 |
stop_sequences | array | 否 | 停止序列 |
tools | array | 否 | 工具定義(name / description / input_schema) |
tool_choice | object | 否 | {"type": "auto"} / {"type": "any"} / {"type": "tool", "name": "..."} |
含系統提示詞與圖片的範例:
{
"model": "claude-sonnet-4-6",
"max_tokens": 1024,
"system": "You are a rigorous technical writer.",
"messages": [
{
"role": "user",
"content": [
{ "type": "image", "source": { "type": "base64", "media_type": "image/jpeg", "data": "<base64>" } },
{ "type": "text", "text": "Describe this architecture diagram" }
]
}
]
}
回應(非串流)
{
"id": "msg_abc123",
"type": "message",
"role": "assistant",
"model": "claude-sonnet-4-6",
"content": [
{ "type": "text", "text": "Hello! I'm Claude…" }
],
"stop_reason": "end_turn",
"stop_sequence": null,
"usage": {
"input_tokens": 18,
"output_tokens": 45
}
}
| 欄位 | 說明 |
|---|---|
content[] | 內容塊陣列——type 可為 text / tool_use / thinking |
stop_reason | end_turn / max_tokens / stop_sequence / tool_use |
usage.input_tokens / output_tokens | token 用量 |
串流事件
設定 "stream": true 時,回應是帶有不同 event: 類型的 SSE:
event: message_start
data: {"type":"message_start","message":{...}}
event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello"}}
event: content_block_stop
data: {"type":"content_block_stop","index":0}
event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn"},"usage":{"output_tokens":45}}
event: message_stop
data: {"type":"message_stop"}
| 事件 | 說明 |
|---|---|
message_start | 訊息開始,含初始 usage |
content_block_start / _delta / _stop | 內容塊的開始 / 增量 / 結束——增量在 delta.text |
message_delta | 頂層狀態更新(stop_reason、最終 usage) |
message_stop | 訊息結束 |
ping | 保活心跳 |
error | 串流中的錯誤 |
使用 Anthropic SDK
from anthropic import Anthropic
client = Anthropic(
api_key="sk-your-token",
base_url="https://test.kailin.com.cn",
)
message = client.messages.create(
model="claude-sonnet-4-6",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)
import Anthropic from '@anthropic-ai/sdk';
const client = new Anthropic({
apiKey: 'sk-your-token',
baseURL: 'https://test.kailin.com.cn',
});
const message = await client.messages.create({
model: 'claude-sonnet-4-6',
max_tokens: 1024,
messages: [{ role: 'user', content: 'Hello' }],
});
console.log(message.content[0].text);
提示
SDK 的 base_url 填根位址(不含 /v1),SDK 會自動補上 /v1/messages。