class_docstr: A custom LLM class that integrates pangu models
code: def get_latest_auth_token(
      self, region, username, password, domain_name
  ):
      url = f"https://iam.{region}.myhuaweicloud.com/v3/auth/tokens"
      payload = json.dumps(
          {
              "auth": {
                  "identity": {
                      "methods": ["password"],
                      "password": {
                          "user": {
                              "name": username,
                              "password": password,
                              "domain": {"name": domain_name},
                          }
                      },
                  },
                  "scope": {"project": {"name": region}},
              }
          }
      )
      headers = {"Content-Type": "application/json"}
  
      response = requests.request(
          "POST", url, headers=headers, data=payload
      )
      return response.headers["X-Subject-Token"]
  
file_path: ColossalAI/applications/ColossalQA/colossalqa/local/pangu_llm.py
imports: import http.client
  import json
  from typing import Any, List, Mapping, Optional
  import requests
  from langchain.llms.base import LLM
  from langchain.utils import get_from_dict_or_env
label_desc: Use image node_id 6 for calling the Pangu obj's underlying member method code with example usage: obj.get_latest_auth_token(region, username, password, domain_name) and returns: response