41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
|
||
import requests
|
||
import urllib3
|
||
|
||
########################################
|
||
# 该文件实现了与大模型的简单通信
|
||
########################################
|
||
|
||
# 忽略https的安全性警告
|
||
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
|
||
|
||
def ask_llm(question):
|
||
url = "https://45.125.46.134:25344/v1/chat/completions"
|
||
headers = {"Content-Type": "application/json"}
|
||
data = {
|
||
"model": "RoboWaiter",
|
||
"messages": [
|
||
{
|
||
"role": "system",
|
||
"content": "你是一个机器人服务员:RoboWaiter. 你的职责是为顾客提供对话及具身服务。"
|
||
},
|
||
{
|
||
"role": "user",
|
||
"content": question
|
||
}
|
||
]
|
||
}
|
||
|
||
response = requests.post(url, headers=headers, json=data, verify=False)
|
||
|
||
if response.status_code == 200:
|
||
result = response.json()
|
||
return result['choices'][0]['message']['content']
|
||
else:
|
||
return "大模型请求失败:", response.status_code
|
||
|
||
|
||
if __name__ == '__main__':
|
||
question = "假设你是一个咖啡厅的机器人服务员,有一个顾客的请求是'请给我一杯咖啡',请生成对应的行为树来控制机器人完成该动作"
|
||
|
||
print(ask_llm(question)) |