关于AI小龙虾OpenClaw API的调试使用,以下是一般性的方法和步骤:

准备工作
获取API凭证
- API密钥(API Key)
- 访问令牌(Access Token)
- 项目ID(Project ID)
环境配置
# 或根据官方SDK安装 pip install openclaw-sdk
API调用示例
Python调用示例
import requests
import json
class OpenClawAPI:
def __init__(self, api_key, base_url="https://api.openclaw.ai"):
self.api_key = api_key
self.base_url = base_url
self.headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
# 1. 文本处理接口
def process_text(self, text, model="claw-3.5"):
endpoint = f"{self.base_url}/v1/completions"
payload = {
"model": model,
"messages": [
{"role": "user", "content": text}
],
"temperature": 0.7
}
response = requests.post(endpoint, headers=self.headers, json=payload)
return response.json()
# 2. 图像识别接口
def process_image(self, image_path):
endpoint = f"{self.base_url}/v1/vision"
with open(image_path, "rb") as image_file:
files = {"image": image_file}
response = requests.post(endpoint, headers=self.headers, files=files)
return response.json()
JavaScript调用示例
// Node.js示例
const axios = require('axios');
class OpenClawClient {
constructor(apiKey) {
this.client = axios.create({
baseURL: 'https://api.openclaw.ai/v1',
headers: {
'Authorization': `Bearer ${apiKey}`,
'Content-Type': 'application/json'
}
});
}
async chatCompletion(prompt) {
const response = await this.client.post('/completions', {
model: 'claw-3.5',
messages: [{ role: 'user', content: prompt }]
});
return response.data;
}
}
调试方法
使用curl测试
# 测试基础连通性
curl -X GET "https://api.openclaw.ai/health" \
-H "Authorization: Bearer YOUR_API_KEY"
# 发送请求
curl -X POST "https://api.openclaw.ai/v1/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claw-3.5",
"messages": [{"role": "user", "content": "你好"}]
}'
使用Postman调试
- 创建新请求
- 设置Authorization为Bearer Token
- 配置请求头和Body
- 保存测试用例
使用官方SDK
from openclaw import OpenClaw
# 初始化客户端
client = OpenClaw(api_key="your-api-key")
# 同步调用
response = client.completions.create(
model="claw-3.5",
messages=[{"role": "user", "content": "请解释AI是什么"}]
)
# 流式响应
stream = client.completions.create(
model="claw-3.5",
messages=[...],
stream=True
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="")
常见调试技巧
错误处理
try:
response = openclaw_api.process_text("你的问题")
if response.get("error"):
print(f"API错误: {response['error']['message']}")
else:
print(response["choices"][0]["message"]["content"])
except requests.exceptions.RequestException as e:
print(f"网络错误: {e}")
except Exception as e:
print(f"未知错误: {e}")
日志记录
import logging logging.basicConfig(level=logging.DEBUG) # 查看详细的HTTP请求日志
速率限制处理
import time
from requests.exceptions import TooManyRequests
def call_with_retry(api_func, *args, retries=3):
for i in range(retries):
try:
return api_func(*args)
except TooManyRequests:
wait_time = 2 ** i # 指数退避
print(f"速率限制,等待{wait_time}秒后重试")
time.sleep(wait_time)
raise Exception("重试次数用完")
调试工具推荐
- Postman/Insomnia - API测试
- Charles/Fiddler - 网络抓包
- Jupyter Notebook - 交互式测试
- 官方提供的Playground - 如果有的话
注意事项
-
API密钥安全:不要硬编码到代码中,使用环境变量
import os API_KEY = os.getenv("OPENCLAW_API_KEY") -
版本控制:注意API版本变化
-
配额限制:了解调用频率和次数限制
-
响应格式:熟悉返回的数据结构
获取帮助
- 查看官方文档:docs.openclaw.ai
- 加入开发者社区
- 联系技术支持
注意:以上代码为通用示例,实际使用时请参考OpenClaw官方最新文档,因为具体的API端点、参数和响应格式可能会有所变化。
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