Azure AI 搜索错误：参数名称：$skip 异常详细信息：ParameterValueOutOfRange 值必须介于 0 和 100000 之间

Question

当我执行以下代码时，结果是

raise HttpResponseError(response=response, model=error)
azure.core.exceptions.HttpResponseError: (InvalidRequestParameter) Value must be between 0 and 100000.  
Code: InvalidRequestParameter
Message: Value must be between 0 and 100000.
Parameter name: $skip
Exception Details:      (ParameterValueOutOfRange) Value must be between 0 and 100000.
        Code: ParameterValueOutOfRange
        Message: Value must be between 0 and 100000.

我的知识库中的文档数量只有 14000 个，但我不明白为什么它超过了 100,000 个。

代码片段如下所示：

import asyncio
import os
import semantic_kernel as sk
from semantic_kernel.connectors.ai.open_ai import AzureTextCompletion,AzureChatCompletion
from azure.core.credentials import AzureKeyCredential
from azure.search.documents import SearchClient
from azure.search.documents.models import QueryType
from services import Service

# Initialize the Semantic Kernel
kernel = sk.Kernel()

# Initialize Azure Cognitive Search client
search_client = SearchClient(
    endpoint=AZURE_SEARCH_ENDPOINT,
    index_name=AZURE_SEARCH_INDEX_NAME,
    credential=AzureKeyCredential(AZURE_SEARCH_API_KEY)
)

class SearchPlugin:
    def search_documents(self, query: str) -> str:
        search_parameters = {
            "top": 50,  # Number of results to return
            "skip": 0   # Number of results to skip
        }
        results = search_client.search(search_text=query, query_type=QueryType.SIMPLE)
        #, **search_parameters)
        print("Number of documents = ", len(list(results)))
        response = [doc['content'] for doc in results]
        return '\n'.join(response)


# Manually register the plugins with the kernel
plugins = {"SearchPlugin": SearchPlugin()}

# Define a function to interact with the AI agent
def interact_with_agent(plugins, plugin_name, function_name, **kwargs):
    plugin = plugins.get(plugin_name)
    if not plugin:
        raise ValueError(f"Plugin {plugin_name} not found.")
    func = getattr(plugin, function_name, None)
    if not func:
        raise ValueError(f"Function {function_name} not found in plugin {plugin_name}.")
    return func(**kwargs)

# System prompt for the chat completion
prompt = "You are an AI language model assistant."
from semantic_kernel.connectors.ai.open_ai import OpenAIChatPromptExecutionSettings
from semantic_kernel.prompt_template import InputVariable, PromptTemplateConfig

selectedService = Service.AzureOpenAI
service_id="gpt-4o"
chat_completion = AzureChatCompletion(service_id=service_id,
    endpoint=AZURE_OPENAI_ENDPOINT,
    api_key=AZURE_OPENAI_API_KEY,
    deployment_name=AZURE_OPENAI_DEPLOYMENT_NAME
)

kernel.add_service(chat_completion)

execution_settings = kernel.get_prompt_execution_settings_from_service_id(
    service_id=service_id
)

execution_settings.max_tokens = 2000
execution_settings.temperature = 0.7
execution_settings.top_p = 0.8

prompt_template_config = PromptTemplateConfig(
    template=prompt,
    name="PMI Chatbot",
    template_format="semantic-kernel",
    input_variables=[
        InputVariable(name="input", description="The user input", is_required=True),
    ],
    execution_settings=execution_settings,
)

Respnose_Func = kernel.add_function(
    function_name=interact_with_agent(plugins, "SearchPlugin", "search_documents", query=service_query), 
    plugin_name="SearchPlugin",
    prompt_template_config=prompt_template_config,
)
   
# Run your prompt
# Note: functions are run asynchronously
async def main():
    input_text = "What is Project Management"
    result = await kernel.invoke(Respnose_Func, input=input_text)
    print(result) 

if __name__ == "__main__":
    asyncio.run(main())

有人可以帮我使上面的代码可执行吗？ TIA

我尝试上网，但没有找到解决方案。我希望这段代码运行时不会出现错误。

Answer 1

为了解决 Azure AI 搜索中有关

$skip

参数值超出范围的错误问题，我们需要确保

$skip

的值在 0 到 100,000 的有效范围内。

The error message  indicates that the value of 

$跳过

is exceeding this limit.

• 添加

  search_client.search

  方法应正确使用

  skip

  和

  top

  参数来迭代结果，而不超出 Azure AI 搜索限制。

下面的代码使用 Python 中的语义内核将 Azure 认知搜索与 Azure OpenAI 服务集成

我参考了此链接，通过语义内核在数据上使用 Azure OpenAI。

我参考了 this 使用 Python 进行 Azure 搜索。

import asyncio
import os
import semantic_kernel as sk
from azure.core.credentials import AzureKeyCredential
from azure.search.documents import SearchClient
from azure.search.documents.models import QueryType
from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
from semantic_kernel.prompt_template import InputVariable, PromptTemplateConfig
from azure.core.exceptions import HttpResponseError, ClientAuthenticationError

AZURE_SEARCH_ENDPOINT = "PUT-YOUR-SEARCH-ENDPOINT-HERE"
AZURE_SEARCH_INDEX_NAME = "indexnmae"
AZURE_SEARCH_API_KEY =  "PUT-YOUR-SEARCH-API-KEY-HERE"


kernel = sk.Kernel()


search_client = SearchClient(
    endpoint=AZURE_SEARCH_ENDPOINT,
    index_name=AZURE_SEARCH_INDEX_NAME,
    credential=AzureKeyCredential(AZURE_SEARCH_API_KEY)
)


class SearchPlugin:
    def search_documents(self, query: str, skip: int, top: int) -> str:
        search_parameters = {
            "skip": skip,
            "top": top,
        }
        try:
            results = search_client.search(search_text=query, query_type=QueryType.SIMPLE, **search_parameters)
            
          
            for doc in results:
                print("Document:", doc)
            
        
            response = [doc.get('description', 'No description available') for doc in results]
            return '\n'.join(response)
        except ClientAuthenticationError as auth_err:
            print(f"Authentication error: {auth_err}")
            return "Authentication error: Unable to authenticate with Azure Cognitive Search."
        except HttpResponseError as http_err:
            print(f"HTTP error occurred: {http_err}")
            return f"HTTP error occurred: {http_err.response.status_code} - {http_err.message}"


plugins = {"SearchPlugin": SearchPlugin()}


service_id = "gpt-4o"
chat_completion = AzureChatCompletion(
    service_id=service_id,
    endpoint="AZURE_OPENAI_ENDPOINT",
    api_key="AZURE_OPENAI_API_KEY",
    deployment_name="AZURE_OPENAI_DEPLOYMENT_NAME"
)


kernel.add_service(chat_completion)


prompt_template_config = PromptTemplateConfig(
    template="You are an AI language model assistant.",
    name="PMI Chatbot",
    template_format="semantic-kernel",
    input_variables=[
        InputVariable(name="input", description="The user input", is_required=True),
    ],
)

s
async def main():
   
    service_query = "What is Project Management"
    
   
    skip = 0
    top = 50
    
    
    search_function = plugins["SearchPlugin"].search_documents
    
    
    result = search_function(query=service_query, skip=skip, top=top)
    
    print(result) 

if __name__ == "__main__":
    asyncio.run(main())

输出：