注册获取API密钥

openclaw openclaw解答 2026-04-09 1

OpenClaw API 是专门为AI小龙虾相关应用提供的接口服务，以下是基本使用方法：

注册获取API密钥-第1张图片-OpenClaw下载官网 - OpenClaw电脑版 | ai小龙虾

快速开始

获取API密钥

基础调用示例

import requests
# API基础URL
BASE_URL = "https://api.openclaw.ai/v1"
headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

核心接口

小龙虾识别分析

def identify_crayfish(image_path):
    """识别小龙虾品种和特征"""
    url = f"{BASE_URL}/identify"
    # 方式1：上传图片文件
    files = {"image": open(image_path, "rb")}
    response = requests.post(url, headers=headers, files=files)
    # 方式2：使用Base64编码
    # import base64
    # with open(image_path, "rb") as img_file:
    #     img_base64 = base64.b64encode(img_file.read()).decode()
    # data = {"image_base64": img_base64}
    # response = requests.post(url, headers=headers, json=data)
    return response.json()

养殖环境监测

def monitor_environment(params):
    """监测养殖环境参数"""
    url = f"{BASE_URL}/environment/monitor"
    data = {
        "temperature": params.get("temp"),  # 温度
        "ph_level": params.get("ph"),       # pH值
        "oxygen": params.get("oxygen"),     # 溶氧量
        "turbidity": params.get("turbidity")# 浊度
    }
    response = requests.post(url, headers=headers, json=data)
    return response.json()

疾病诊断

def diagnose_disease(symptoms):
    """疾病诊断与防治建议"""
    url = f"{BASE_URL}/disease/diagnose"
    data = {
        "symptoms": symptoms,  # 症状列表
        "crayfish_age": 60,    # 日龄
        "environment": "pond"   # 养殖环境
    }
    response = requests.post(url, headers=headers, json=data)
    return response.json()

高级功能

生长预测

def growth_prediction(crayfish_data):
    """预测生长曲线"""
    url = f"{BASE_URL}/prediction/growth"
    data = {
        "initial_weight": crayfish_data["weight"],
        "age_days": crayfish_data["age"],
        "feeding_rate": 0.03,  # 投喂率
        "water_temp": 25.0     # 水温
    }
    response = requests.post(url, headers=headers, json=data)
    return response.json()

实时视频流分析

def video_stream_analysis(stream_url):
    """实时视频分析"""
    url = f"{BASE_URL}/video/analyze"
    data = {
        "stream_url": stream_url,
        "analysis_type": "behavior",  # 行为分析
        "interval": 5,               # 分析间隔（秒）
        "features": ["activity", "feeding", "aggregation"]
    }
    response = requests.post(url, headers=headers, json=data)
    return response.json()

WebSocket实时通信

import websocket
import json
def setup_websocket():
    """建立WebSocket连接"""
    ws_url = f"wss://api.openclaw.ai/v1/ws?api_key={API_KEY}"
    def on_message(ws, message):
        data = json.loads(message)
        print(f"收到数据: {data}")
        # 处理实时数据
    def on_error(ws, error):
        print(f"连接错误: {error}")
    def on_close(ws):
        print("连接关闭")
    def on_open(ws):
        print("连接已建立")
        # 订阅数据
        subscribe_msg = {
            "action": "subscribe",
            "channels": ["environment", "behavior"]
        }
        ws.send(json.dumps(subscribe_msg))
    ws = websocket.WebSocketApp(ws_url,
                               on_message=on_message,
                               on_error=on_error,
                               on_close=on_close)
    ws.on_open = on_open
    ws.run_forever()

错误处理

class OpenClawAPI:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = "https://api.openclaw.ai/v1"
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        }
    def make_request(self, endpoint, method="GET", data=None):
        """封装请求，包含错误处理"""
        url = f"{self.base_url}/{endpoint}"
        try:
            if method == "GET":
                response = requests.get(url, headers=self.headers, params=data)
            elif method == "POST":
                response = requests.post(url, headers=self.headers, json=data)
            response.raise_for_status()
            return response.json()
        except requests.exceptions.HTTPError as e:
            print(f"HTTP错误: {e}")
            return {"error": str(e), "status_code": response.status_code}
        except Exception as e:
            print(f"请求错误: {e}")
            return {"error": str(e)}

Python SDK使用（如果有官方SDK）

# 安装SDK（如果提供）
# pip install openclaw-sdk
from openclaw import OpenClawClient
# 初始化客户端
client = OpenClawClient(api_key=API_KEY)
# 使用SDK调用
result = client.identify.by_image("crayfish.jpg")
analysis = client.environment.analyze(water_data)

最佳实践

使用异步请求

import aiohttp
import asyncio
async def async_identify(image_path):
    async with aiohttp.ClientSession() as session:
        url = f"{BASE_URL}/identify"
        with open(image_path, "rb") as f:
            data = aiohttp.FormData()
            data.add_field('image', f, filename='crayfish.jpg')
            async with session.post(url, headers=headers, data=data) as response:
                return await response.json()

配置重试机制

from tenacity import retry, stop_after_attempt, wait_exponential
@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))
def reliable_api_call(endpoint, data):
    response = requests.post(f"{BASE_URL}/{endpoint}", 
                           headers=headers, 
                           json=data,
                           timeout=30)
    return response.json()