feat: enhance provider settings and model configuration

- Updated `ModelConfig` to include a `mode` property for better differentiation between 'chat' and 'responses'.
- Modified `createBaseModel` to conditionally set the provider based on the new `mode` property in `providerSettings`.
- Refactored `RuntimeExecutor` to utilize the updated `ModelConfig` for improved type safety and clarity in provider settings.
- Adjusted imports in `executor.ts` and `types.ts` to align with the new model configuration structure.

packages/aiCore/src/core/models/ProviderCreator.ts

@@ -91,7 +91,11 @@ export async function createBaseModel({
 
     // 加一个特判
     if (providerConfig.id === 'openai') {
-      if (!isOpenAIChatCompletionOnlyModel(modelId)) {
+      if (
+        'mode' in providerSettings &&
+        providerSettings.mode === 'response' &&
+        !isOpenAIChatCompletionOnlyModel(modelId)
+      ) {
         provider = provider.responses
       } else {
         provider = provider.chat

packages/aiCore/src/core/models/types.ts

@@ -8,7 +8,8 @@ import type { ProviderId, ProviderSettingsMap } from '../../types'
 export interface ModelConfig<T extends ProviderId = ProviderId> {
   providerId: T
   modelId: string
-  providerSettings: ProviderSettingsMap[T]
+  providerSettings: ProviderSettingsMap[T] & { mode: 'chat' | 'responses' }
   middlewares?: LanguageModelV2Middleware[]
+  // 额外模型参数
   extraModelConfig?: Record<string, any>
 }

packages/aiCore/src/core/runtime/executor.ts

@@ -5,8 +5,9 @@
 import { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
 import { generateObject, generateText, LanguageModel, streamObject, streamText } from 'ai'
 
-import { type ProviderId, type ProviderSettingsMap } from '../../types'
+import { type ProviderId } from '../../types'
 import { createModel, getProviderInfo } from '../models'
+import { type ModelConfig } from '../models/types'
 import { type AiPlugin, type AiRequestContext, definePlugin } from '../plugins'
 import { PluginEngine } from './pluginEngine'
 import { type RuntimeConfig } from './types'
@@ -256,7 +257,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
    */
   static create<T extends ProviderId>(
     providerId: T,
-    options: ProviderSettingsMap[T],
+    options: ModelConfig<T>['providerSettings'],
     plugins?: AiPlugin[]
   ): RuntimeExecutor<T> {
     return new RuntimeExecutor({
@@ -270,7 +271,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
    * 创建OpenAI Compatible执行器
    */
   static createOpenAICompatible(
-    options: ProviderSettingsMap['openai-compatible'],
+    options: ModelConfig<'openai-compatible'>['providerSettings'],
     plugins: AiPlugin[] = []
   ): RuntimeExecutor<'openai-compatible'> {
     return new RuntimeExecutor({

packages/aiCore/src/core/runtime/types.ts

@@ -1,7 +1,8 @@
 /**
  * Runtime 层类型定义
  */
-import { type ProviderId, type ProviderSettingsMap } from '../../types'
+import { type ProviderId } from '../../types'
+import { type ModelConfig } from '../models'
 import { type AiPlugin } from '../plugins'
 
 /**
@@ -9,7 +10,7 @@ import { type AiPlugin } from '../plugins'
  */
 export interface RuntimeConfig<T extends ProviderId = ProviderId> {
   providerId: T
-  providerSettings: ProviderSettingsMap[T]
+  providerSettings: ModelConfig<T>['providerSettings']
   plugins?: AiPlugin[]
 }