开发者生态

# 1. 安装SDK
$ pip install zkf-ai

# 2. 导入并初始化
from zkf import AgentClient

client = AgentClient(
    api_key="your-api-key",
    base_url="https://api.zkf.cn/v2"
)

# 3. 调用智能体对话
response = client.chat(
    agent_id="fin-assistant-001",
    message="查询近3个月信用卡消费明细",
    stream=True
)

for chunk in response:
    print(chunk.content, end="")

// 1. 添加Maven依赖
<dependency>
    <groupId>cn.zkf</groupId>
    <artifactId>zkf-ai-java</artifactId>
    <version>2.0.3</version>
</dependency>

// 2. 初始化客户端
AgentClient client = AgentClient.
    builder()
    .apiKey("your-api-key")
    .baseUrl("https://api.zkf.cn/v2")
    .build();

// 3. 调用智能体对话
ChatResponse response = client.chat(ChatRequest.builder()
    .agentId("fin-assistant-001")
    .message("查询近3个月信用卡消费明细")
    .stream(true)
    .build());

response.forEach(chunk -> System.out.print(chunk.getContent()));

// 1. 安装SDK
$ npm install @zkf/sdk

// 2. 导入并初始化
import { AgentClient } from '@zkf/sdk';

const client = new AgentClient({
    apiKey: 'your-api-key',
    baseURL: 'https://api.zkf.cn/v2'
});

// 3. 调用智能体对话
const response = await client.chat({
    agentId: 'fin-assistant-001',
    message: '查询近3个月信用卡消费明细',
    stream: true
});

for await (const chunk of response) {
    process.stdout.write(chunk.content);
}