当我尝试使用Azure Open AI运行Semantic-kernel时，出现以下错误

Error: (<ErrorCodes.ServiceError: 6>, 'OpenAI service failed to complete the chat', InvalidRequestError(message='Resource not found', param=None, code='404', http_status=404, request_id=None))

我使用以下代码，参考https://github.com/microsoft/semantic-kernel/blob/main/python/README.md

from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
kernel = sk.Kernel()
deployment, api_key, endpoint = "<MY_DEPLOYMENT_NAME>","<MY_API_KEY>", "<MY_ENDPOINT>"
# print(f'kernel.add_chat_service("dv", AzureChatCompletion(deployment_name=deployment, endpoint=endpoint, api_key=api_key))')
kernel.add_chat_service("dv", AzureChatCompletion(deployment_name=deployment, endpoint=endpoint, api_key=api_key))
# Wrap your prompt in a function
prompt = kernel.create_semantic_function("""
Write a simple hello-world python program.
""")
# Run your prompt
print(prompt())

当我试图找到解决方案时，我在kerrnel.add_chat_service上运行print（f“）语句，得到以下错误

Traceback (most recent call last):
  File "C:\Users\yashroop.rai\Desktop\semantic-kernel\semantic-kernel.py", line 10, in <module>
    prompt = kernel.create_semantic_function("""
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\yashroop.rai\AppData\Local\Programs\Python\Python311\Lib\site-packages\semantic_kernel\kernel.py", line 851, in create_semantic_function
    return self.register_semantic_function(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\yashroop.rai\AppData\Local\Programs\Python\Python311\Lib\site-packages\semantic_kernel\kernel.py", line 129, in register_semantic_function       
    function = self._create_semantic_function(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\yashroop.rai\AppData\Local\Programs\Python\Python311\Lib\site-packages\semantic_kernel\kernel.py", line 692, in _create_semantic_function        
    service = self.get_ai_service(
              ^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\yashroop.rai\AppData\Local\Programs\Python\Python311\Lib\site-packages\semantic_kernel\kernel.py", line 429, in get_ai_service
    raise ValueError(
ValueError: TextCompletionClientBase service with service_id 'None' not found

有什么办法吗？端点和API_key是正确的，因为我一直在使用它作为一个正常的POST请求通过API调用，这工作正常。

from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
import semantic_kernel as sk
kernel = sk.Kernel()
deployment="deploymentname1"
api_key="your-azure-api-key"
endpoint="https://<resource name>.openai.azure.com/"
kernel.add_chat_service("dv", AzureChatCompletion(deployment_name=deployment, endpoint=endpoint, api_key=api_key))
prompt = kernel.create_semantic_function("""
Write a simple palindrome python program.
""")
# Run your prompt
print(prompt())

This program prompts the user to enter a word, and then checks if the word is the same forwards and backwards (i.e. a palindrome) using slicing. If the word is a palindrome, it prints a message saying so. Otherwise, it prints a message saying the word is not a palindrome.

1条答案

按热度按时间

7y4bm7vi1#

运行Microsoft semantic-kernel时出现资源未找到错误
当您在代码中传递不正确的部署名称或API_key或终结点时，会发生上述错误。
我创建了Azure Open AI服务，并部署了名为**deploymentname1的gpt-35-turbo**模型。

入口：

现在使用下面的代码，我可以使用Python在Azure open ai中运行语义内核。

验证码：

from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
import semantic_kernel as sk
kernel = sk.Kernel()
deployment="deploymentname1"
api_key="your-azure-api-key"
endpoint="https://<resource name>.openai.azure.com/"
kernel.add_chat_service("dv", AzureChatCompletion(deployment_name=deployment, endpoint=endpoint, api_key=api_key))
prompt = kernel.create_semantic_function("""
Write a simple palindrome python program.
""")
# Run your prompt
print(prompt())

输出：

Here's a simple palindrome python program:

word = input("Enter a word: ")

if word == word[::-1]:
print("The word is a palindrome!")
else:
print("The word is not a palindrome.")

参考：

向语义内核添加AI服务|微软学习

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赞(0）回复(0）举报 2023-10-22

azure 运行miscrosoft semantic-kernel时出现资源未找到错误

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