refactor(aiCore): enhance temperature and TopP parameter handling

- Updated `getTemperature` and `getTopP` functions to incorporate reasoning effort checks for Claude models.
- Refactored logic to ensure temperature and TopP settings are only returned when applicable.
- Improved clarity and maintainability of parameter retrieval functions.

src/renderer/src/aiCore/transformParameters.ts

@@ -6,6 +6,7 @@
 import { loggerService } from '@logger'
 import { DEFAULT_MAX_TOKENS } from '@renderer/config/constant'
 import {
+  isClaudeReasoningModel,
   isGenerateImageModel,
   isNotSupportTemperatureAndTopP,
   isOpenRouterBuiltInWebSearchModel,
@@ -44,15 +45,29 @@ const logger = loggerService.withContext('transformParameters')
 /**
  * 获取温度参数
  */
-export function getTemperature(assistant: Assistant, model: Model): number | undefined {
-  return isNotSupportTemperatureAndTopP(model) ? undefined : assistant.settings?.temperature
+function getTemperature(assistant: Assistant, model: Model): number | undefined {
+  if (assistant.settings?.reasoning_effort && isClaudeReasoningModel(model)) {
+    return undefined
+  }
+  if (isNotSupportTemperatureAndTopP(model)) {
+    return undefined
+  }
+  const assistantSettings = getAssistantSettings(assistant)
+  return assistantSettings?.enableTemperature ? assistantSettings?.temperature : undefined
 }
 
 /**
  * 获取 TopP 参数
  */
-export function getTopP(assistant: Assistant, model: Model): number | undefined {
-  return isNotSupportTemperatureAndTopP(model) ? undefined : assistant.settings?.topP
+function getTopP(assistant: Assistant, model: Model): number | undefined {
+  if (assistant.settings?.reasoning_effort && isClaudeReasoningModel(model)) {
+    return undefined
+  }
+  if (isNotSupportTemperatureAndTopP(model)) {
+    return undefined
+  }
+  const assistantSettings = getAssistantSettings(assistant)
+  return assistantSettings?.enableTopP ? assistantSettings?.topP : undefined
 }
 
 /**
@@ -372,7 +387,7 @@ export async function buildStreamTextParams(
   if (assistant.prompt) {
     params.system = assistant.prompt
   }
-
+  console.log('params', params)
   return {
     params,
     modelId: model.id,

src/renderer/src/aiCore/utils/options.ts

@@ -77,7 +77,7 @@ export function buildProviderOptions(
     case 'openai':
     case 'azure':
       providerSpecificOptions = {
-        ...buildOpenAIProviderOptions(assistant, model, capabilities),
+        ...buildOpenAIProviderOptions(assistant, model, capabilities, actualProvider),
         serviceTier: serviceTierSetting
       }
       break
@@ -126,7 +126,8 @@ function buildOpenAIProviderOptions(
     enableReasoning: boolean
     enableWebSearch: boolean
     enableGenerateImage: boolean
-  }
+  },
+  actualProvider: Provider
 ): Record<string, any> {
   const { enableReasoning } = capabilities
   let providerOptions: Record<string, any> = {}
@@ -139,6 +140,11 @@ function buildOpenAIProviderOptions(
     }
   }
 
+  if (actualProvider.id === 'azure') {
+    providerOptions.apiVersion = actualProvider.apiVersion
+    providerOptions.useDeploymentBasedUrls = true
+  }
+
   return providerOptions
 }
 

src/renderer/src/windows/mini/home/HomeWindow.tsx

@@ -263,9 +263,9 @@ const HomeWindow: FC<{ draggable?: boolean }> = ({ draggable = true }) => {
         }
         newAssistant.settings.streamOutput = true
         // 显式关闭这些功能
-        // newAssistant.webSearchProviderId = undefined
+        newAssistant.webSearchProviderId = undefined
         newAssistant.mcpServers = undefined
-        // newAssistant.knowledge_bases = undefined
+        newAssistant.knowledge_bases = undefined
         const llmMessages = await ConversationService.prepareMessagesForModel(messagesForContext, newAssistant)
 
         await fetchChatCompletion({

src/renderer/src/windows/selection/action/components/ActionUtils.ts

@@ -63,7 +63,7 @@ export const processMessages = async (
     // 显式关闭这些功能
     newAssistant.webSearchProviderId = undefined
     newAssistant.mcpServers = undefined
-    // newAssistant.knowledge_bases = undefined
+    newAssistant.knowledge_bases = undefined
     const llmMessages = await ConversationService.prepareMessagesForModel([userMessage], newAssistant)
 
     await fetchChatCompletion({