Merge f20db1ac84 into 8ab375161d

.gitignore

@@ -73,3 +73,5 @@ test-results
 YOUR_MEMORY_FILE_PATH
 
 .sessions/
+.next/
+*.tsbuildinfo

electron.vite.config.ts

@@ -25,7 +25,10 @@ export default defineConfig({
         '@shared': resolve('packages/shared'),
         '@logger': resolve('src/main/services/LoggerService'),
         '@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core'),
-        '@mcp-trace/trace-node': resolve('packages/mcp-trace/trace-node')
+        '@mcp-trace/trace-node': resolve('packages/mcp-trace/trace-node'),
+        '@cherrystudio/ai-core/provider': resolve('packages/aiCore/src/core/providers'),
+        '@cherrystudio/ai-core': resolve('packages/aiCore/src'),
+        '@cherrystudio/ai-sdk-provider': resolve('packages/ai-sdk-provider/src')
       }
     },
     build: {

packages/shared/ai-sdk-middlewares/index.ts

@@ -0,0 +1,15 @@
+/**
+ * Shared AI SDK Middlewares
+ *
+ * Environment-agnostic middlewares that can be used in both
+ * renderer process and main process (API server).
+ */
+
+export {
+  buildSharedMiddlewares,
+  getReasoningTagName,
+  isGemini3ModelId,
+  openrouterReasoningMiddleware,
+  type SharedMiddlewareConfig,
+  skipGeminiThoughtSignatureMiddleware
+} from './middlewares'

packages/shared/ai-sdk-middlewares/middlewares.ts

@@ -0,0 +1,205 @@
+/**
+ * Shared AI SDK Middlewares
+ *
+ * These middlewares are environment-agnostic and can be used in both
+ * renderer process and main process (API server).
+ */
+import type { LanguageModelV2Middleware, LanguageModelV2StreamPart } from '@ai-sdk/provider'
+import { extractReasoningMiddleware } from 'ai'
+
+/**
+ * Configuration for building shared middlewares
+ */
+export interface SharedMiddlewareConfig {
+  /**
+   * Whether to enable reasoning extraction
+   */
+  enableReasoning?: boolean
+
+  /**
+   * Tag name for reasoning extraction
+   * Defaults based on model ID
+   */
+  reasoningTagName?: string
+
+  /**
+   * Model ID - used to determine default reasoning tag and model detection
+   */
+  modelId?: string
+
+  /**
+   * Provider ID (Cherry Studio provider ID)
+   * Used for provider-specific middlewares like OpenRouter
+   */
+  providerId?: string
+
+  /**
+   * AI SDK Provider ID
+   * Used for Gemini thought signature middleware
+   * e.g., 'google', 'google-vertex'
+   */
+  aiSdkProviderId?: string
+}
+
+/**
+ * Check if model ID represents a Gemini 3 (2.5) model
+ * that requires thought signature handling
+ *
+ * @param modelId - The model ID string (not Model object)
+ */
+export function isGemini3ModelId(modelId?: string): boolean {
+  if (!modelId) return false
+  const lowerModelId = modelId.toLowerCase()
+  return lowerModelId.includes('gemini-3')
+}
+
+/**
+ * Get the default reasoning tag name based on model ID
+ *
+ * Different models use different tags for reasoning content:
+ * - Most models: 'think'
+ * - GPT-OSS models: 'reasoning'
+ * - Gemini models: 'thought'
+ * - Seed models: 'seed:think'
+ */
+export function getReasoningTagName(modelId?: string): string {
+  if (!modelId) return 'think'
+  const lowerModelId = modelId.toLowerCase()
+  if (lowerModelId.includes('gpt-oss')) return 'reasoning'
+  if (lowerModelId.includes('gemini')) return 'thought'
+  if (lowerModelId.includes('seed-oss-36b')) return 'seed:think'
+  return 'think'
+}
+
+/**
+ * Skip Gemini Thought Signature Middleware
+ *
+ * Due to the complexity of multi-model client requests (which can switch
+ * to other models mid-process), this middleware skips all Gemini 3
+ * thinking signatures validation.
+ *
+ * @param aiSdkId - AI SDK Provider ID (e.g., 'google', 'google-vertex')
+ * @returns LanguageModelV2Middleware
+ */
+export function skipGeminiThoughtSignatureMiddleware(aiSdkId: string): LanguageModelV2Middleware {
+  const MAGIC_STRING = 'skip_thought_signature_validator'
+  return {
+    middlewareVersion: 'v2',
+
+    transformParams: async ({ params }) => {
+      const transformedParams = { ...params }
+      // Process messages in prompt
+      if (transformedParams.prompt && Array.isArray(transformedParams.prompt)) {
+        transformedParams.prompt = transformedParams.prompt.map((message) => {
+          if (typeof message.content !== 'string') {
+            for (const part of message.content) {
+              const googleOptions = part?.providerOptions?.[aiSdkId]
+              if (googleOptions?.thoughtSignature) {
+                googleOptions.thoughtSignature = MAGIC_STRING
+              }
+            }
+          }
+          return message
+        })
+      }
+
+      return transformedParams
+    }
+  }
+}
+
+/**
+ * OpenRouter Reasoning Middleware
+ *
+ * Filters out [REDACTED] blocks from OpenRouter reasoning responses.
+ * OpenRouter may include [REDACTED] markers in reasoning content that
+ * should be removed for cleaner output.
+ *
+ * @see https://openrouter.ai/docs/docs/best-practices/reasoning-tokens
+ * @returns LanguageModelV2Middleware
+ */
+export function openrouterReasoningMiddleware(): LanguageModelV2Middleware {
+  const REDACTED_BLOCK = '[REDACTED]'
+  return {
+    middlewareVersion: 'v2',
+    wrapGenerate: async ({ doGenerate }) => {
+      const { content, ...rest } = await doGenerate()
+      const modifiedContent = content.map((part) => {
+        if (part.type === 'reasoning' && part.text.includes(REDACTED_BLOCK)) {
+          return {
+            ...part,
+            text: part.text.replace(REDACTED_BLOCK, '')
+          }
+        }
+        return part
+      })
+      return { content: modifiedContent, ...rest }
+    },
+    wrapStream: async ({ doStream }) => {
+      const { stream, ...rest } = await doStream()
+      return {
+        stream: stream.pipeThrough(
+          new TransformStream<LanguageModelV2StreamPart, LanguageModelV2StreamPart>({
+            transform(
+              chunk: LanguageModelV2StreamPart,
+              controller: TransformStreamDefaultController<LanguageModelV2StreamPart>
+            ) {
+              if (chunk.type === 'reasoning-delta' && chunk.delta.includes(REDACTED_BLOCK)) {
+                controller.enqueue({
+                  ...chunk,
+                  delta: chunk.delta.replace(REDACTED_BLOCK, '')
+                })
+              } else {
+                controller.enqueue(chunk)
+              }
+            }
+          })
+        ),
+        ...rest
+      }
+    }
+  }
+}
+
+/**
+ * Build shared middlewares based on configuration
+ *
+ * This function builds a set of middlewares that are commonly needed
+ * across different environments (renderer, API server).
+ *
+ * @param config - Configuration for middleware building
+ * @returns Array of AI SDK middlewares
+ *
+ * @example
+ * ```typescript
+ * import { buildSharedMiddlewares } from '@shared/middleware'
+ *
+ * const middlewares = buildSharedMiddlewares({
+ *   enableReasoning: true,
+ *   modelId: 'gemini-2.5-pro',
+ *   providerId: 'openrouter',
+ *   aiSdkProviderId: 'google'
+ * })
+ * ```
+ */
+export function buildSharedMiddlewares(config: SharedMiddlewareConfig): LanguageModelV2Middleware[] {
+  const middlewares: LanguageModelV2Middleware[] = []
+
+  // 1. Reasoning extraction middleware
+  if (config.enableReasoning) {
+    const tagName = config.reasoningTagName || getReasoningTagName(config.modelId)
+    middlewares.push(extractReasoningMiddleware({ tagName }))
+  }
+
+  // 2. OpenRouter-specific: filter [REDACTED] blocks
+  if (config.providerId === 'openrouter' && config.enableReasoning) {
+    middlewares.push(openrouterReasoningMiddleware())
+  }
+
+  // 3. Gemini 3 (2.5) specific: skip thought signature validation
+  if (isGemini3ModelId(config.modelId) && config.aiSdkProviderId) {
+    middlewares.push(skipGeminiThoughtSignatureMiddleware(config.aiSdkProviderId))
+  }
+
+  return middlewares
+}

packages/shared/anthropic/index.ts

@@ -9,13 +9,27 @@
  */
 
 import Anthropic from '@anthropic-ai/sdk'
-import type { TextBlockParam } from '@anthropic-ai/sdk/resources'
+import type { MessageCreateParams, TextBlockParam, Tool as AnthropicTool } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
-import type { Provider } from '@types'
+import { type Provider, SystemProviderIds } from '@types'
 import type { ModelMessage } from 'ai'
 
 const logger = loggerService.withContext('anthropic-sdk')
 
+/**
+ * Context for Anthropic SDK client creation.
+ * This allows the shared module to be used in different environments
+ * by providing environment-specific implementations.
+ */
+export interface AnthropicSdkContext {
+  /**
+   * Custom fetch function to use for HTTP requests.
+   * In Electron main process, this should be `net.fetch`.
+   * In other environments, can use the default fetch or a custom implementation.
+   */
+  fetch?: typeof globalThis.fetch
+}
+
 const defaultClaudeCodeSystemPrompt = `You are Claude Code, Anthropic's official CLI for Claude.`
 
 const defaultClaudeCodeSystem: Array<TextBlockParam> = [
@@ -58,8 +72,11 @@ const defaultClaudeCodeSystem: Array<TextBlockParam> = [
 export function getSdkClient(
   provider: Provider,
   oauthToken?: string | null,
-  extraHeaders?: Record<string, string | string[]>
+  extraHeaders?: Record<string, string | string[]>,
+  context?: AnthropicSdkContext
 ): Anthropic {
+  const customFetch = context?.fetch
+
   if (provider.authType === 'oauth') {
     if (!oauthToken) {
       throw new Error('OAuth token is not available')
@@ -85,7 +102,8 @@ export function getSdkClient(
         'x-stainless-runtime': 'node',
         'x-stainless-runtime-version': 'v22.18.0',
         ...extraHeaders
-      }
+      },
+      fetch: customFetch
     })
   }
   const baseURL =
@@ -101,11 +119,12 @@ export function getSdkClient(
       baseURL,
       dangerouslyAllowBrowser: true,
       defaultHeaders: {
-        'anthropic-beta': 'output-128k-2025-02-19',
+        'anthropic-beta': 'interleaved-thinking-2025-05-14',
         'APP-Code': 'MLTG2087',
         ...provider.extra_headers,
         ...extraHeaders
-      }
+      },
+      fetch: customFetch
     })
   }
 
@@ -115,9 +134,11 @@ export function getSdkClient(
     baseURL,
     dangerouslyAllowBrowser: true,
     defaultHeaders: {
-      'anthropic-beta': 'output-128k-2025-02-19',
+      'anthropic-beta': 'interleaved-thinking-2025-05-14',
+      Authorization: provider.id === SystemProviderIds.longcat ? `Bearer ${provider.apiKey}` : undefined,
       ...provider.extra_headers
-    }
+    },
+    fetch: customFetch
   })
 }
 
@@ -168,3 +189,31 @@ export function buildClaudeCodeSystemModelMessage(system?: string | Array<TextBl
     content: block.text
   }))
 }
+
+/**
+ * Sanitize tool definitions for Anthropic API.
+ *
+ * Removes non-standard fields like `input_examples` from tool definitions
+ * that Anthropic's API doesn't support. This prevents validation errors when
+ * tools with extended fields are passed to the Anthropic SDK.
+ *
+ * @param tools - Array of tool definitions from MessageCreateParams
+ * @returns Sanitized tools array with non-standard fields removed
+ *
+ * @example
+ * ```typescript
+ * const sanitizedTools = sanitizeToolsForAnthropic(request.tools)
+ * ```
+ */
+export function sanitizeToolsForAnthropic(tools?: MessageCreateParams['tools']): MessageCreateParams['tools'] {
+  if (!tools || tools.length === 0) return tools
+
+  return tools.map((tool) => {
+    if ('type' in tool && tool.type !== 'custom') return tool
+
+    // oxlint-disable-next-line no-unused-vars
+    const { input_examples, ...sanitizedTool } = tool as AnthropicTool & { input_examples?: unknown }
+
+    return sanitizedTool as typeof tool
+  })
+}

packages/shared/config/providers.ts

@@ -43,6 +43,35 @@ export function isSiliconAnthropicCompatibleModel(modelId: string): boolean {
 }
 
 /**
- * Silicon provider's Anthropic API host URL.
+ * PPIO provider models that support Anthropic API endpoint.
+ * These models can be used with Claude Code via the Anthropic-compatible API.
+ *
+ * @see https://ppio.com/docs/model/llm-anthropic-compatibility
  */
-export const SILICON_ANTHROPIC_API_HOST = 'https://api.siliconflow.cn'
+export const PPIO_ANTHROPIC_COMPATIBLE_MODELS: readonly string[] = [
+  'moonshotai/kimi-k2-thinking',
+  'minimax/minimax-m2',
+  'deepseek/deepseek-v3.2-exp',
+  'deepseek/deepseek-v3.1-terminus',
+  'zai-org/glm-4.6',
+  'moonshotai/kimi-k2-0905',
+  'deepseek/deepseek-v3.1',
+  'moonshotai/kimi-k2-instruct',
+  'qwen/qwen3-next-80b-a3b-instruct',
+  'qwen/qwen3-next-80b-a3b-thinking'
+]
+
+/**
+ * Creates a Set for efficient lookup of PPIO Anthropic-compatible model IDs.
+ */
+const PPIO_ANTHROPIC_COMPATIBLE_MODEL_SET = new Set(PPIO_ANTHROPIC_COMPATIBLE_MODELS)
+
+/**
+ * Checks if a model ID is compatible with Anthropic API on PPIO provider.
+ *
+ * @param modelId - The model ID to check
+ * @returns true if the model supports Anthropic API endpoint
+ */
+export function isPpioAnthropicCompatibleModel(modelId: string): boolean {
+  return PPIO_ANTHROPIC_COMPATIBLE_MODEL_SET.has(modelId)
+}

packages/shared/provider/config/aihubmix.ts

@@ -1,13 +1,13 @@
 /**
  * AiHubMix规则集
  */
-import { isOpenAILLMModel } from '@renderer/config/models'
+import { getLowerBaseModelName } from '@shared/utils/naming'
-import type { Provider } from '@renderer/types'
 
+import type { MinimalModel, MinimalProvider } from '../types'
 import { provider2Provider, startsWith } from './helper'
 import type { RuleSet } from './types'
 
-const extraProviderConfig = (provider: Provider) => {
+const extraProviderConfig = <P extends MinimalProvider>(provider: P) => {
   return {
     ...provider,
     extra_headers: {
@@ -17,11 +17,23 @@ const extraProviderConfig = (provider: Provider) => {
   }
 }
 
+function isOpenAILLMModel<M extends MinimalModel>(model: M): boolean {
+  const modelId = getLowerBaseModelName(model.id)
+  const reasonings = ['o1', 'o3', 'o4', 'gpt-oss']
+  if (reasonings.some((r) => modelId.includes(r))) {
+    return true
+  }
+  if (modelId.includes('gpt')) {
+    return true
+  }
+  return false
+}
+
 const AIHUBMIX_RULES: RuleSet = {
   rules: [
     {
       match: startsWith('claude'),
-      provider: (provider: Provider) => {
+      provider: (provider) => {
         return extraProviderConfig({
           ...provider,
           type: 'anthropic'
@@ -34,7 +46,7 @@ const AIHUBMIX_RULES: RuleSet = {
         !model.id.endsWith('-nothink') &&
         !model.id.endsWith('-search') &&
         !model.id.includes('embedding'),
-      provider: (provider: Provider) => {
+      provider: (provider) => {
         return extraProviderConfig({
           ...provider,
           type: 'gemini',
@@ -44,7 +56,7 @@ const AIHUBMIX_RULES: RuleSet = {
     },
     {
       match: isOpenAILLMModel,
-      provider: (provider: Provider) => {
+      provider: (provider) => {
         return extraProviderConfig({
           ...provider,
           type: 'openai-response'
@@ -52,7 +64,8 @@ const AIHUBMIX_RULES: RuleSet = {
       }
     }
   ],
-  fallbackRule: (provider: Provider) => extraProviderConfig(provider)
+  fallbackRule: (provider) => extraProviderConfig(provider)
 }
 
-export const aihubmixProviderCreator = provider2Provider.bind(null, AIHUBMIX_RULES)
+export const aihubmixProviderCreator = <P extends MinimalProvider>(model: MinimalModel, provider: P): P =>
+  provider2Provider<MinimalModel, MinimalProvider, P>(AIHUBMIX_RULES, model, provider)

packages/shared/provider/config/azure-anthropic.ts

@@ -0,0 +1,22 @@
+import type { MinimalModel, MinimalProvider, ProviderType } from '../types'
+import { provider2Provider, startsWith } from './helper'
+import type { RuleSet } from './types'
+
+// https://platform.claude.com/docs/en/build-with-claude/claude-in-microsoft-foundry
+const AZURE_ANTHROPIC_RULES: RuleSet = {
+  rules: [
+    {
+      match: startsWith('claude'),
+      provider: (provider: MinimalProvider) => ({
+        ...provider,
+        type: 'anthropic' as ProviderType,
+        apiHost: provider.apiHost + 'anthropic/v1',
+        id: 'azure-anthropic'
+      })
+    }
+  ],
+  fallbackRule: (provider: MinimalProvider) => provider
+}
+
+export const azureAnthropicProviderCreator = <P extends MinimalProvider>(model: MinimalModel, provider: P): P =>
+  provider2Provider<MinimalModel, MinimalProvider, P>(AZURE_ANTHROPIC_RULES, model, provider)

packages/shared/provider/config/helper.ts

@@ -0,0 +1,32 @@
+import type { MinimalModel, MinimalProvider } from '../types'
+import type { RuleSet } from './types'
+
+export const startsWith =
+  (prefix: string) =>
+  <M extends MinimalModel>(model: M) =>
+    model.id.toLowerCase().startsWith(prefix.toLowerCase())
+
+export const endpointIs =
+  (type: string) =>
+  <M extends MinimalModel>(model: M) =>
+    model.endpoint_type === type
+
+/**
+ * 解析模型对应的Provider
+ * @param ruleSet 规则集对象
+ * @param model 模型对象
+ * @param provider 原始provider对象
+ * @returns 解析出的provider对象
+ */
+export function provider2Provider<M extends MinimalModel, R extends MinimalProvider, P extends R = R>(
+  ruleSet: RuleSet<M, R>,
+  model: M,
+  provider: P
+): P {
+  for (const rule of ruleSet.rules) {
+    if (rule.match(model)) {
+      return rule.provider(provider) as P
+    }
+  }
+  return ruleSet.fallbackRule(provider) as P
+}

packages/shared/provider/config/index.ts

@@ -0,0 +1,6 @@
+export { aihubmixProviderCreator } from './aihubmix'
+export { azureAnthropicProviderCreator } from './azure-anthropic'
+export { endpointIs, provider2Provider, startsWith } from './helper'
+export { newApiResolverCreator } from './newApi'
+export type { RuleSet } from './types'
+export { vertexAnthropicProviderCreator } from './vertex-anthropic'

packages/shared/provider/config/newApi.ts

@@ -1,8 +1,7 @@
 /**
  * NewAPI规则集
  */
-import type { Provider } from '@renderer/types'
+import type { MinimalModel, MinimalProvider, ProviderType } from '../types'
-
 import { endpointIs, provider2Provider } from './helper'
 import type { RuleSet } from './types'
 
@@ -10,42 +9,43 @@ const NEWAPI_RULES: RuleSet = {
   rules: [
     {
       match: endpointIs('anthropic'),
-      provider: (provider: Provider) => {
+      provider: (provider) => {
         return {
           ...provider,
-          type: 'anthropic'
+          type: 'anthropic' as ProviderType
         }
       }
     },
     {
       match: endpointIs('gemini'),
-      provider: (provider: Provider) => {
+      provider: (provider) => {
         return {
           ...provider,
-          type: 'gemini'
+          type: 'gemini' as ProviderType
         }
       }
     },
     {
       match: endpointIs('openai-response'),
-      provider: (provider: Provider) => {
+      provider: (provider) => {
         return {
           ...provider,
-          type: 'openai-response'
+          type: 'openai-response' as ProviderType
         }
       }
     },
     {
       match: (model) => endpointIs('openai')(model) || endpointIs('image-generation')(model),
-      provider: (provider: Provider) => {
+      provider: (provider) => {
         return {
           ...provider,
-          type: 'openai'
+          type: 'openai' as ProviderType
         }
       }
     }
   ],
-  fallbackRule: (provider: Provider) => provider
+  fallbackRule: (provider) => provider
 }
 
-export const newApiResolverCreator = provider2Provider.bind(null, NEWAPI_RULES)
+export const newApiResolverCreator = <P extends MinimalProvider>(model: MinimalModel, provider: P): P =>
+  provider2Provider<MinimalModel, MinimalProvider, P>(NEWAPI_RULES, model, provider)

packages/shared/provider/config/types.ts

@@ -0,0 +1,9 @@
+import type { MinimalModel, MinimalProvider } from '../types'
+
+export interface RuleSet<M extends MinimalModel = MinimalModel, P extends MinimalProvider = MinimalProvider> {
+  rules: Array<{
+    match: (model: M) => boolean
+    provider: (provider: P) => P
+  }>
+  fallbackRule: (provider: P) => P
+}

packages/shared/provider/config/vertex-anthropic.ts

@@ -0,0 +1,19 @@
+import type { MinimalModel, MinimalProvider } from '../types'
+import { provider2Provider, startsWith } from './helper'
+import type { RuleSet } from './types'
+
+const VERTEX_ANTHROPIC_RULES: RuleSet = {
+  rules: [
+    {
+      match: startsWith('claude'),
+      provider: (provider: MinimalProvider) => ({
+        ...provider,
+        id: 'google-vertex-anthropic'
+      })
+    }
+  ],
+  fallbackRule: (provider: MinimalProvider) => provider
+}
+
+export const vertexAnthropicProviderCreator = <P extends MinimalProvider>(model: MinimalModel, provider: P): P =>
+  provider2Provider<MinimalModel, MinimalProvider, P>(VERTEX_ANTHROPIC_RULES, model, provider)

packages/shared/provider/constant.ts

@@ -0,0 +1,26 @@
+import { getLowerBaseModelName } from '@shared/utils/naming'
+
+import type { MinimalModel } from './types'
+
+export const COPILOT_EDITOR_VERSION = 'vscode/1.104.1'
+export const COPILOT_PLUGIN_VERSION = 'copilot-chat/0.26.7'
+export const COPILOT_INTEGRATION_ID = 'vscode-chat'
+export const COPILOT_USER_AGENT = 'GitHubCopilotChat/0.26.7'
+
+export const COPILOT_DEFAULT_HEADERS = {
+  'Copilot-Integration-Id': COPILOT_INTEGRATION_ID,
+  'User-Agent': COPILOT_USER_AGENT,
+  'Editor-Version': COPILOT_EDITOR_VERSION,
+  'Editor-Plugin-Version': COPILOT_PLUGIN_VERSION,
+  'editor-version': COPILOT_EDITOR_VERSION,
+  'editor-plugin-version': COPILOT_PLUGIN_VERSION,
+  'copilot-vision-request': 'true'
+} as const
+
+// Models that require the OpenAI Responses endpoint when routed through GitHub Copilot (#10560)
+const COPILOT_RESPONSES_MODEL_IDS = ['gpt-5-codex', 'gpt-5.1-codex', 'gpt-5.1-codex-mini']
+
+export function isCopilotResponsesModel<M extends MinimalModel>(model: M): boolean {
+  const normalizedId = getLowerBaseModelName(model.id)
+  return COPILOT_RESPONSES_MODEL_IDS.some((target) => normalizedId === target)
+}

packages/shared/provider/detection.ts

@@ -0,0 +1,101 @@
+/**
+ * Provider Type Detection Utilities
+ *
+ * Functions to detect provider types based on provider configuration.
+ * These are pure functions that only depend on provider.type and provider.id.
+ *
+ * NOTE: These functions should match the logic in @renderer/utils/provider.ts
+ */
+
+import type { MinimalProvider } from './types'
+
+/**
+ * Check if provider is Anthropic type
+ */
+export function isAnthropicProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'anthropic'
+}
+
+/**
+ * Check if provider is OpenAI Response type (openai-response)
+ * NOTE: This matches isOpenAIProvider in renderer/utils/provider.ts
+ */
+export function isOpenAIProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'openai-response'
+}
+
+/**
+ * Check if provider is Gemini type
+ */
+export function isGeminiProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'gemini'
+}
+
+/**
+ * Check if provider is Azure OpenAI type
+ */
+export function isAzureOpenAIProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'azure-openai'
+}
+
+/**
+ * Check if provider is Vertex AI type
+ */
+export function isVertexProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'vertexai'
+}
+
+/**
+ * Check if provider is AWS Bedrock type
+ */
+export function isAwsBedrockProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'aws-bedrock'
+}
+
+export function isAIGatewayProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'gateway'
+}
+
+export function isOllamaProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.type === 'ollama'
+}
+
+/**
+ * Check if Azure OpenAI provider uses responses endpoint
+ * Matches isAzureResponsesEndpoint in renderer/utils/provider.ts
+ */
+export function isAzureResponsesEndpoint<P extends MinimalProvider>(provider: P): boolean {
+  return provider.apiVersion === 'preview' || provider.apiVersion === 'v1'
+}
+
+/**
+ * Check if provider is Cherry AI type
+ * Matches isCherryAIProvider in renderer/utils/provider.ts
+ */
+export function isCherryAIProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.id === 'cherryai'
+}
+
+/**
+ * Check if provider is Perplexity type
+ * Matches isPerplexityProvider in renderer/utils/provider.ts
+ */
+export function isPerplexityProvider<P extends MinimalProvider>(provider: P): boolean {
+  return provider.id === 'perplexity'
+}
+
+/**
+ * Check if provider is new-api type (supports multiple backends)
+ * Matches isNewApiProvider in renderer/utils/provider.ts
+ */
+export function isNewApiProvider<P extends MinimalProvider>(provider: P): boolean {
+  return ['new-api', 'cherryin'].includes(provider.id) || provider.type === ('new-api' as string)
+}
+
+/**
+ * Check if provider is OpenAI compatible
+ * Matches isOpenAICompatibleProvider in renderer/utils/provider.ts
+ */
+export function isOpenAICompatibleProvider<P extends MinimalProvider>(provider: P): boolean {
+  return ['openai', 'new-api', 'mistral'].includes(provider.type)
+}

packages/shared/provider/format.ts

@@ -0,0 +1,141 @@
+/**
+ * Provider API Host Formatting
+ *
+ * Utilities for formatting provider API hosts to work with AI SDK.
+ * These handle the differences between how Cherry Studio stores API hosts
+ * and how AI SDK expects them.
+ */
+
+import {
+  formatApiHost,
+  formatAzureOpenAIApiHost,
+  formatOllamaApiHost,
+  formatVertexApiHost,
+  isWithTrailingSharp,
+  routeToEndpoint,
+  withoutTrailingSlash
+} from '../utils/url'
+import {
+  isAnthropicProvider,
+  isAzureOpenAIProvider,
+  isCherryAIProvider,
+  isGeminiProvider,
+  isOllamaProvider,
+  isPerplexityProvider,
+  isVertexProvider
+} from './detection'
+import type { MinimalProvider } from './types'
+import { SystemProviderIds } from './types'
+
+/**
+ * Interface for environment-specific implementations
+ * Renderer and Main process can provide their own implementations
+ */
+export interface ProviderFormatContext {
+  vertex: {
+    project: string
+    location: string
+  }
+}
+
+/**
+ * Default Azure OpenAI API host formatter
+ */
+export function defaultFormatAzureOpenAIApiHost(host: string): string {
+  const normalizedHost = withoutTrailingSlash(host)
+    ?.replace(/\/v1$/, '')
+    .replace(/\/openai$/, '')
+  // AI SDK will add /v1
+  return formatApiHost(normalizedHost + '/openai', false)
+}
+
+/**
+ * Format provider API host for AI SDK
+ *
+ * This function normalizes the apiHost to work with AI SDK.
+ * Different providers have different requirements:
+ * - Most providers: add /v1 suffix
+ * - Gemini: add /v1beta suffix
+ * - Some providers: no suffix needed
+ *
+ * @param provider - The provider to format
+ * @param context - Optional context with environment-specific implementations
+ * @returns Provider with formatted apiHost (and anthropicApiHost if applicable)
+ */
+export function formatProviderApiHost<T extends MinimalProvider>(provider: T, context: ProviderFormatContext): T {
+  const formatted = { ...provider }
+  const appendApiVersion = !isWithTrailingSharp(provider.apiHost)
+  // Format anthropicApiHost if present
+  if (formatted.anthropicApiHost) {
+    formatted.anthropicApiHost = formatApiHost(formatted.anthropicApiHost, appendApiVersion)
+  }
+
+  // Format based on provider type
+  if (isAnthropicProvider(provider)) {
+    const baseHost = formatted.anthropicApiHost || formatted.apiHost
+    // AI SDK needs /v1 in baseURL
+    formatted.apiHost = formatApiHost(baseHost, appendApiVersion)
+    if (!formatted.anthropicApiHost) {
+      formatted.anthropicApiHost = formatted.apiHost
+    }
+  } else if (formatted.id === SystemProviderIds.copilot || formatted.id === SystemProviderIds.github) {
+    formatted.apiHost = formatApiHost(formatted.apiHost, false)
+  } else if (isOllamaProvider(formatted)) {
+    formatted.apiHost = formatOllamaApiHost(formatted.apiHost)
+  } else if (isGeminiProvider(formatted)) {
+    formatted.apiHost = formatApiHost(formatted.apiHost, appendApiVersion, 'v1beta')
+  } else if (isAzureOpenAIProvider(formatted)) {
+    formatted.apiHost = formatAzureOpenAIApiHost(formatted.apiHost)
+  } else if (isVertexProvider(formatted)) {
+    formatted.apiHost = formatVertexApiHost(formatted, context.vertex.project, context.vertex.location)
+  } else if (isCherryAIProvider(formatted)) {
+    formatted.apiHost = formatApiHost(formatted.apiHost, false)
+  } else if (isPerplexityProvider(formatted)) {
+    formatted.apiHost = formatApiHost(formatted.apiHost, false)
+  } else {
+    formatted.apiHost = formatApiHost(formatted.apiHost, appendApiVersion)
+  }
+
+  return formatted
+}
+
+/**
+ * Get the base URL for AI SDK from a formatted provider
+ *
+ * This extracts the baseURL that AI SDK expects, handling
+ * the '#' endpoint routing format if present.
+ *
+ * @param formattedApiHost - The formatted apiHost (after formatProviderApiHost)
+ * @returns The baseURL for AI SDK
+ */
+export function getBaseUrlForAiSdk(formattedApiHost: string): string {
+  const { baseURL } = routeToEndpoint(formattedApiHost)
+  return baseURL
+}
+
+/**
+ * Get rotated API key from comma-separated keys
+ *
+ * This is the interface for API key rotation. The actual implementation
+ * depends on the environment (renderer uses window.keyv, main uses its own storage).
+ */
+export interface ApiKeyRotator {
+  /**
+   * Get the next API key in rotation
+   * @param providerId - The provider ID for tracking rotation
+   * @param keys - Comma-separated API keys
+   * @returns The next API key to use
+   */
+  getRotatedKey(providerId: string, keys: string): string
+}
+
+/**
+ * Simple API key rotator that always returns the first key
+ * Use this when rotation is not needed
+ */
+export const simpleKeyRotator: ApiKeyRotator = {
+  getRotatedKey(_providerId: string, keys: string): string {
+    const keyList = keys.split(',').map((k) => k.trim())
+    return keyList[0] || keys
+  }
+}

packages/shared/provider/index.ts

@@ -0,0 +1,49 @@
+/**
+ * Shared Provider Utilities
+ *
+ * This module exports utilities for working with AI providers
+ * that can be shared between main process and renderer process.
+ */
+
+// Type definitions
+export type { MinimalProvider, ProviderType, SystemProviderId } from './types'
+export { SystemProviderIds } from './types'
+
+// Provider type detection
+export {
+  isAIGatewayProvider,
+  isAnthropicProvider,
+  isAwsBedrockProvider,
+  isAzureOpenAIProvider,
+  isAzureResponsesEndpoint,
+  isCherryAIProvider,
+  isGeminiProvider,
+  isNewApiProvider,
+  isOllamaProvider,
+  isOpenAICompatibleProvider,
+  isOpenAIProvider,
+  isPerplexityProvider,
+  isVertexProvider
+} from './detection'
+
+// API host formatting
+export type { ApiKeyRotator, ProviderFormatContext } from './format'
+export {
+  defaultFormatAzureOpenAIApiHost,
+  formatProviderApiHost,
+  getBaseUrlForAiSdk,
+  simpleKeyRotator
+} from './format'
+
+// Provider ID mapping
+export { getAiSdkProviderId, STATIC_PROVIDER_MAPPING, tryResolveProviderId } from './mapping'
+
+// AI SDK configuration
+export type { AiSdkConfig, AiSdkConfigContext } from './sdk-config'
+export { providerToAiSdkConfig } from './sdk-config'
+
+// Provider resolution
+export { resolveActualProvider } from './resolve'
+
+// Provider initialization
+export { initializeSharedProviders, SHARED_PROVIDER_CONFIGS } from './initialization'

packages/shared/provider/initialization.ts

@@ -0,0 +1,114 @@
+import { type ProviderConfig, registerMultipleProviderConfigs } from '@cherrystudio/ai-core/provider'
+
+type ProviderInitializationLogger = {
+  warn?: (message: string) => void
+  error?: (message: string, error: Error) => void
+}
+
+export const SHARED_PROVIDER_CONFIGS: ProviderConfig[] = [
+  {
+    id: 'openrouter',
+    name: 'OpenRouter',
+    import: () => import('@openrouter/ai-sdk-provider'),
+    creatorFunctionName: 'createOpenRouter',
+    supportsImageGeneration: true,
+    aliases: ['openrouter']
+  },
+  {
+    id: 'google-vertex',
+    name: 'Google Vertex AI',
+    import: () => import('@ai-sdk/google-vertex/edge'),
+    creatorFunctionName: 'createVertex',
+    supportsImageGeneration: true,
+    aliases: ['vertexai']
+  },
+  {
+    id: 'google-vertex-anthropic',
+    name: 'Google Vertex AI Anthropic',
+    import: () => import('@ai-sdk/google-vertex/anthropic/edge'),
+    creatorFunctionName: 'createVertexAnthropic',
+    supportsImageGeneration: true,
+    aliases: ['vertexai-anthropic']
+  },
+  {
+    id: 'azure-anthropic',
+    name: 'Azure AI Anthropic',
+    import: () => import('@ai-sdk/anthropic'),
+    creatorFunctionName: 'createAnthropic',
+    supportsImageGeneration: false,
+    aliases: ['azure-anthropic']
+  },
+  {
+    id: 'github-copilot-openai-compatible',
+    name: 'GitHub Copilot OpenAI Compatible',
+    import: () => import('@opeoginni/github-copilot-openai-compatible'),
+    creatorFunctionName: 'createGitHubCopilotOpenAICompatible',
+    supportsImageGeneration: false,
+    aliases: ['copilot', 'github-copilot']
+  },
+  {
+    id: 'bedrock',
+    name: 'Amazon Bedrock',
+    import: () => import('@ai-sdk/amazon-bedrock'),
+    creatorFunctionName: 'createAmazonBedrock',
+    supportsImageGeneration: true,
+    aliases: ['aws-bedrock']
+  },
+  {
+    id: 'perplexity',
+    name: 'Perplexity',
+    import: () => import('@ai-sdk/perplexity'),
+    creatorFunctionName: 'createPerplexity',
+    supportsImageGeneration: false,
+    aliases: ['perplexity']
+  },
+  {
+    id: 'mistral',
+    name: 'Mistral',
+    import: () => import('@ai-sdk/mistral'),
+    creatorFunctionName: 'createMistral',
+    supportsImageGeneration: false,
+    aliases: ['mistral']
+  },
+  {
+    id: 'huggingface',
+    name: 'HuggingFace',
+    import: () => import('@ai-sdk/huggingface'),
+    creatorFunctionName: 'createHuggingFace',
+    supportsImageGeneration: true,
+    aliases: ['hf', 'hugging-face']
+  },
+  {
+    id: 'gateway',
+    name: 'Vercel AI Gateway',
+    import: () => import('@ai-sdk/gateway'),
+    creatorFunctionName: 'createGateway',
+    supportsImageGeneration: true,
+    aliases: ['ai-gateway']
+  },
+  {
+    id: 'cerebras',
+    name: 'Cerebras',
+    import: () => import('@ai-sdk/cerebras'),
+    creatorFunctionName: 'createCerebras',
+    supportsImageGeneration: false
+  },
+  {
+    id: 'ollama',
+    name: 'Ollama',
+    import: () => import('ollama-ai-provider-v2'),
+    creatorFunctionName: 'createOllama',
+    supportsImageGeneration: false
+  }
+] as const
+
+export function initializeSharedProviders(logger?: ProviderInitializationLogger): void {
+  try {
+    const successCount = registerMultipleProviderConfigs(SHARED_PROVIDER_CONFIGS)
+    if (successCount < SHARED_PROVIDER_CONFIGS.length) {
+      logger?.warn?.('Some providers failed to register. Check previous error logs.')
+    }
+  } catch (error) {
+    logger?.error?.('Failed to initialize shared providers', error as Error)
+  }
+}

packages/shared/provider/mapping.ts

@@ -0,0 +1,95 @@
+/**
+ * Provider ID Mapping
+ *
+ * Maps Cherry Studio provider IDs/types to AI SDK provider IDs.
+ * This logic should match @renderer/aiCore/provider/factory.ts
+ */
+
+import { hasProviderConfigByAlias, type ProviderId, resolveProviderConfigId } from '@cherrystudio/ai-core/provider'
+
+import { isAzureOpenAIProvider, isAzureResponsesEndpoint } from './detection'
+import type { MinimalProvider } from './types'
+
+/**
+ * Static mapping from Cherry Studio provider ID/type to AI SDK provider ID
+ * Matches STATIC_PROVIDER_MAPPING in @renderer/aiCore/provider/factory.ts
+ */
+export const STATIC_PROVIDER_MAPPING: Record<string, ProviderId> = {
+  gemini: 'google', // Google Gemini -> google
+  'azure-openai': 'azure', // Azure OpenAI -> azure
+  'openai-response': 'openai', // OpenAI Responses -> openai
+  grok: 'xai', // Grok -> xai
+  copilot: 'github-copilot-openai-compatible'
+}
+
+/**
+ * Try to resolve a provider identifier to an AI SDK provider ID
+ * Matches tryResolveProviderId in @renderer/aiCore/provider/factory.ts
+ *
+ * @param identifier - The provider ID or type to resolve
+ * @param checker - Provider config checker (defaults to static mapping only)
+ * @returns The resolved AI SDK provider ID, or null if not found
+ */
+export function tryResolveProviderId(identifier: string): ProviderId | null {
+  // 1. 检查静态映射
+  const staticMapping = STATIC_PROVIDER_MAPPING[identifier]
+  if (staticMapping) {
+    return staticMapping
+  }
+
+  // 2. 检查AiCore是否支持（包括别名支持）
+  if (hasProviderConfigByAlias(identifier)) {
+    // 解析为真实的Provider ID
+    return resolveProviderConfigId(identifier) as ProviderId
+  }
+
+  return null
+}
+
+/**
+ * Get the AI SDK Provider ID for a Cherry Studio provider
+ * Matches getAiSdkProviderId in @renderer/aiCore/provider/factory.ts
+ *
+ * Logic:
+ * 1. Handle Azure OpenAI specially (check responses endpoint)
+ * 2. Try to resolve from provider.id
+ * 3. Try to resolve from provider.type (but not for generic 'openai' type)
+ * 4. Check for OpenAI API host pattern
+ * 5. Fallback to provider's own ID
+ *
+ * @param provider - The Cherry Studio provider
+ * @param checker - Provider config checker (defaults to static mapping only)
+ * @returns The AI SDK provider ID to use
+ */
+export function getAiSdkProviderId(provider: MinimalProvider): ProviderId {
+  // 1. Handle Azure OpenAI specially - check this FIRST before other resolution
+  if (isAzureOpenAIProvider(provider)) {
+    if (isAzureResponsesEndpoint(provider)) {
+      return 'azure-responses'
+    }
+    return 'azure'
+  }
+
+  // 2. 尝试解析provider.id
+  const resolvedFromId = tryResolveProviderId(provider.id)
+  if (resolvedFromId) {
+    return resolvedFromId
+  }
+
+  // 3. 尝试解析provider.type
+  // 会把所有类型为openai的自定义provider解析到aisdk的openaiProvider上
+  if (provider.type !== 'openai') {
+    const resolvedFromType = tryResolveProviderId(provider.type)
+    if (resolvedFromType) {
+      return resolvedFromType
+    }
+  }
+
+  // 4. Check for OpenAI API host pattern
+  if (provider.apiHost.includes('api.openai.com')) {
+    return 'openai-chat'
+  }
+
+  // 5. 最后的fallback（使用provider本身的id）
+  return provider.id
+}

packages/shared/provider/resolve.ts

@@ -0,0 +1,43 @@
+import { aihubmixProviderCreator, newApiResolverCreator, vertexAnthropicProviderCreator } from './config'
+import { azureAnthropicProviderCreator } from './config/azure-anthropic'
+import { isAzureOpenAIProvider, isNewApiProvider } from './detection'
+import type { MinimalModel, MinimalProvider } from './types'
+
+export interface ResolveActualProviderOptions<P extends MinimalProvider> {
+  isSystemProvider?: (provider: P) => boolean
+}
+
+const defaultIsSystemProvider = <P extends MinimalProvider>(provider: P): boolean => {
+  if ('isSystem' in provider) {
+    return Boolean((provider as unknown as { isSystem?: boolean }).isSystem)
+  }
+  return false
+}
+
+export function resolveActualProvider<M extends MinimalModel, P extends MinimalProvider>(
+  provider: P,
+  model: M,
+  options: ResolveActualProviderOptions<P> = {}
+): P {
+  let resolvedProvider = provider
+
+  if (isNewApiProvider(resolvedProvider)) {
+    resolvedProvider = newApiResolverCreator(model, resolvedProvider)
+  }
+
+  const isSystemProvider = options.isSystemProvider?.(resolvedProvider) ?? defaultIsSystemProvider(resolvedProvider)
+
+  if (isSystemProvider && resolvedProvider.id === 'aihubmix') {
+    resolvedProvider = aihubmixProviderCreator(model, resolvedProvider)
+  }
+
+  if (isSystemProvider && resolvedProvider.id === 'vertexai') {
+    resolvedProvider = vertexAnthropicProviderCreator(model, resolvedProvider)
+  }
+
+  if (isAzureOpenAIProvider(resolvedProvider)) {
+    resolvedProvider = azureAnthropicProviderCreator(model, resolvedProvider)
+  }
+
+  return resolvedProvider
+}

packages/shared/provider/sdk-config.ts

@@ -0,0 +1,289 @@
+/**
+ * AI SDK Configuration
+ *
+ * Shared utilities for converting Cherry Studio Provider to AI SDK configuration.
+ * Environment-specific logic (renderer/main) is injected via context interfaces.
+ */
+
+import { formatPrivateKey, hasProviderConfig, ProviderConfigFactory } from '@cherrystudio/ai-core/provider'
+import { defaultAppHeaders } from '@shared/utils'
+import { isEmpty } from 'lodash'
+
+import { routeToEndpoint } from '../utils/url'
+import { isAzureOpenAIProvider, isOllamaProvider } from './detection'
+import { getAiSdkProviderId } from './mapping'
+import type { MinimalProvider } from './types'
+import { SystemProviderIds } from './types'
+
+/**
+ * AI SDK configuration result
+ */
+export interface AiSdkConfig {
+  providerId: string
+  options: Record<string, unknown>
+}
+
+/**
+ * Context for environment-specific implementations
+ */
+export interface AiSdkConfigContext {
+  /**
+   * Check if a model uses chat completion only (for OpenAI response mode)
+   * Default: returns false
+   */
+  isOpenAIChatCompletionOnlyModel?: (modelId: string) => boolean
+
+  /**
+   * Check if provider supports stream options
+   * Default: returns true
+   */
+  isSupportStreamOptionsProvider?: (provider: MinimalProvider) => boolean
+
+  /**
+   * Get includeUsage setting for stream options
+   * Default: returns undefined
+   */
+  getIncludeUsageSetting?: () => boolean | undefined | Promise<boolean | undefined>
+
+  /**
+   * Get Copilot default headers (constants)
+   * Default: returns empty object
+   */
+  getCopilotDefaultHeaders?: () => Record<string, string>
+
+  /**
+   * Get Copilot stored headers from state
+   * Default: returns empty object
+   */
+  getCopilotStoredHeaders?: () => Record<string, string>
+
+  /**
+   * Get AWS Bedrock configuration
+   * Default: returns undefined (not configured)
+   */
+  getAwsBedrockConfig?: () =>
+    | {
+        authType: 'apiKey' | 'iam'
+        region: string
+        apiKey?: string
+        accessKeyId?: string
+        secretAccessKey?: string
+      }
+    | undefined
+
+  /**
+   * Get Vertex AI configuration
+   * Default: returns undefined (not configured)
+   */
+  getVertexConfig?: (provider: MinimalProvider) =>
+    | {
+        project: string
+        location: string
+        googleCredentials: {
+          privateKey: string
+          clientEmail: string
+        }
+      }
+    | undefined
+
+  /**
+   * Get endpoint type for cherryin provider
+   */
+  getEndpointType?: (modelId: string) => string | undefined
+
+  /**
+   * Custom fetch implementation
+   * Main process: use Electron net.fetch
+   * Renderer process: use browser fetch (default)
+   */
+  fetch?: typeof globalThis.fetch
+
+  /**
+   * Get CherryAI signed fetch wrapper
+   * Returns a fetch function that adds signature headers to requests
+   */
+  getCherryAISignedFetch?: () => typeof globalThis.fetch
+}
+
+/**
+ * Convert Cherry Studio Provider to AI SDK configuration
+ *
+ * @param provider - The formatted provider (after formatProviderApiHost)
+ * @param modelId - The model ID to use
+ * @param context - Environment-specific implementations
+ * @returns AI SDK configuration
+ */
+export function providerToAiSdkConfig(
+  provider: MinimalProvider,
+  modelId: string,
+  context: AiSdkConfigContext = {}
+): AiSdkConfig {
+  const isOpenAIChatCompletionOnlyModel = context.isOpenAIChatCompletionOnlyModel || (() => false)
+  const isSupportStreamOptionsProvider = context.isSupportStreamOptionsProvider || (() => true)
+  const getIncludeUsageSetting = context.getIncludeUsageSetting || (() => undefined)
+
+  const aiSdkProviderId = getAiSdkProviderId(provider)
+
+  // Build base config
+  const { baseURL, endpoint } = routeToEndpoint(provider.apiHost)
+  const baseConfig = {
+    baseURL,
+    apiKey: provider.apiKey
+  }
+
+  let includeUsage: boolean | undefined = undefined
+  if (isSupportStreamOptionsProvider(provider)) {
+    const setting = getIncludeUsageSetting()
+    includeUsage = setting instanceof Promise ? undefined : setting
+  }
+
+  // Handle Copilot specially
+  if (provider.id === SystemProviderIds.copilot) {
+    const defaultHeaders = context.getCopilotDefaultHeaders?.() ?? {}
+    const storedHeaders = context.getCopilotStoredHeaders?.() ?? {}
+    const copilotExtraOptions: Record<string, unknown> = {
+      headers: {
+        ...defaultHeaders,
+        ...storedHeaders,
+        ...provider.extra_headers
+      },
+      name: provider.id,
+      includeUsage
+    }
+    if (context.fetch) {
+      copilotExtraOptions.fetch = context.fetch
+    }
+    const options = ProviderConfigFactory.fromProvider(
+      'github-copilot-openai-compatible',
+      baseConfig,
+      copilotExtraOptions
+    )
+
+    return {
+      providerId: 'github-copilot-openai-compatible',
+      options
+    }
+  }
+
+  if (isOllamaProvider(provider)) {
+    return {
+      providerId: 'ollama',
+      options: {
+        ...baseConfig,
+        headers: {
+          ...provider.extra_headers,
+          Authorization: !isEmpty(baseConfig.apiKey) ? `Bearer ${baseConfig.apiKey}` : undefined
+        }
+      }
+    }
+  }
+
+  // Build extra options
+  const extraOptions: Record<string, unknown> = {}
+  if (endpoint) {
+    extraOptions.endpoint = endpoint
+  }
+
+  // Handle OpenAI mode
+  if (provider.type === 'openai-response' && !isOpenAIChatCompletionOnlyModel(modelId)) {
+    extraOptions.mode = 'responses'
+  } else if (aiSdkProviderId === 'openai' || (aiSdkProviderId === 'cherryin' && provider.type === 'openai')) {
+    extraOptions.mode = 'chat'
+  }
+
+  // Add extra headers
+  const headers: Record<string, string | undefined> = {
+    ...defaultAppHeaders(),
+    ...provider.extra_headers
+  }
+
+  if (aiSdkProviderId === 'openai') {
+    headers['X-Api-Key'] = baseConfig.apiKey
+  }
+
+  extraOptions.headers = headers
+
+  // Handle Azure modes
+  if (aiSdkProviderId === 'azure-responses') {
+    extraOptions.mode = 'responses'
+  } else if (aiSdkProviderId === 'azure') {
+    extraOptions.mode = 'chat'
+  }
+
+  if (isAzureOpenAIProvider(provider)) {
+    const apiVersion = provider.apiVersion?.trim()
+    if (apiVersion) {
+      extraOptions.apiVersion = apiVersion
+      if (!['preview', 'v1'].includes(apiVersion)) {
+        extraOptions.useDeploymentBasedUrls = true
+      }
+    }
+  }
+
+  // Handle AWS Bedrock
+  if (aiSdkProviderId === 'bedrock') {
+    const bedrockConfig = context.getAwsBedrockConfig?.()
+    if (bedrockConfig) {
+      extraOptions.region = bedrockConfig.region
+      if (bedrockConfig.authType === 'apiKey') {
+        extraOptions.apiKey = bedrockConfig.apiKey
+      } else {
+        extraOptions.accessKeyId = bedrockConfig.accessKeyId
+        extraOptions.secretAccessKey = bedrockConfig.secretAccessKey
+      }
+    }
+  }
+
+  // Handle Vertex AI
+  if (aiSdkProviderId === 'google-vertex' || aiSdkProviderId === 'google-vertex-anthropic') {
+    const vertexConfig = context.getVertexConfig?.(provider)
+    if (vertexConfig) {
+      extraOptions.project = vertexConfig.project
+      extraOptions.location = vertexConfig.location
+      extraOptions.googleCredentials = {
+        ...vertexConfig.googleCredentials,
+        privateKey: formatPrivateKey(vertexConfig.googleCredentials.privateKey)
+      }
+      baseConfig.baseURL += aiSdkProviderId === 'google-vertex' ? '/publishers/google' : '/publishers/anthropic/models'
+    }
+  }
+
+  // Handle cherryin endpoint type
+  if (aiSdkProviderId === 'cherryin') {
+    const endpointType = context.getEndpointType?.(modelId)
+    if (endpointType) {
+      extraOptions.endpointType = endpointType
+    }
+  }
+
+  // Handle cherryai signed fetch
+  if (provider.id === 'cherryai') {
+    const signedFetch = context.getCherryAISignedFetch?.()
+    if (signedFetch) {
+      extraOptions.fetch = signedFetch
+    }
+  } else if (context.fetch) {
+    extraOptions.fetch = context.fetch
+  }
+
+  // Check if AI SDK supports this provider natively
+  if (hasProviderConfig(aiSdkProviderId) && aiSdkProviderId !== 'openai-compatible') {
+    const options = ProviderConfigFactory.fromProvider(aiSdkProviderId, baseConfig, extraOptions)
+    return {
+      providerId: aiSdkProviderId,
+      options
+    }
+  }
+
+  // Fallback to openai-compatible
+  const options = ProviderConfigFactory.createOpenAICompatible(baseConfig.baseURL, baseConfig.apiKey)
+  return {
+    providerId: 'openai-compatible',
+    options: {
+      ...options,
+      name: provider.id,
+      ...extraOptions,
+      includeUsage
+    }
+  }
+}

packages/shared/provider/types.ts

@@ -0,0 +1,177 @@
+import * as z from 'zod'
+
+export const ProviderTypeSchema = z.enum([
+  'openai',
+  'openai-response',
+  'anthropic',
+  'gemini',
+  'azure-openai',
+  'vertexai',
+  'mistral',
+  'aws-bedrock',
+  'vertex-anthropic',
+  'new-api',
+  'gateway',
+  'ollama'
+])
+
+export type ProviderType = z.infer<typeof ProviderTypeSchema>
+
+/**
+ * Minimal provider interface for shared utilities
+ * This is the subset of Provider that shared code needs
+ */
+export type MinimalProvider = {
+  id: string
+  type: ProviderType
+  apiKey: string
+  apiHost: string
+  anthropicApiHost?: string
+  apiVersion?: string
+  extra_headers?: Record<string, string>
+}
+
+/**
+ * Minimal model interface for shared utilities
+ * This is the subset of Model that shared code needs
+ */
+export type MinimalModel = {
+  id: string
+  endpoint_type?: string
+}
+
+export const SystemProviderIdSchema = z.enum([
+  'cherryin',
+  'silicon',
+  'aihubmix',
+  'ocoolai',
+  'deepseek',
+  'ppio',
+  'alayanew',
+  'qiniu',
+  'dmxapi',
+  'burncloud',
+  'tokenflux',
+  '302ai',
+  'cephalon',
+  'lanyun',
+  'ph8',
+  'openrouter',
+  'ollama',
+  'ovms',
+  'new-api',
+  'lmstudio',
+  'anthropic',
+  'openai',
+  'azure-openai',
+  'gemini',
+  'vertexai',
+  'github',
+  'copilot',
+  'zhipu',
+  'yi',
+  'moonshot',
+  'baichuan',
+  'dashscope',
+  'stepfun',
+  'doubao',
+  'infini',
+  'minimax',
+  'groq',
+  'together',
+  'fireworks',
+  'nvidia',
+  'grok',
+  'hyperbolic',
+  'mistral',
+  'jina',
+  'perplexity',
+  'modelscope',
+  'xirang',
+  'hunyuan',
+  'tencent-cloud-ti',
+  'baidu-cloud',
+  'gpustack',
+  'voyageai',
+  'aws-bedrock',
+  'poe',
+  'aionly',
+  'longcat',
+  'huggingface',
+  'sophnet',
+  'gateway',
+  'cerebras',
+  'mimo'
+])
+
+export type SystemProviderId = z.infer<typeof SystemProviderIdSchema>
+
+export const isSystemProviderId = (id: string): id is SystemProviderId => {
+  return SystemProviderIdSchema.safeParse(id).success
+}
+
+export const SystemProviderIds = {
+  cherryin: 'cherryin',
+  silicon: 'silicon',
+  aihubmix: 'aihubmix',
+  ocoolai: 'ocoolai',
+  deepseek: 'deepseek',
+  ppio: 'ppio',
+  alayanew: 'alayanew',
+  qiniu: 'qiniu',
+  dmxapi: 'dmxapi',
+  burncloud: 'burncloud',
+  tokenflux: 'tokenflux',
+  '302ai': '302ai',
+  cephalon: 'cephalon',
+  lanyun: 'lanyun',
+  ph8: 'ph8',
+  sophnet: 'sophnet',
+  openrouter: 'openrouter',
+  ollama: 'ollama',
+  ovms: 'ovms',
+  'new-api': 'new-api',
+  lmstudio: 'lmstudio',
+  anthropic: 'anthropic',
+  openai: 'openai',
+  'azure-openai': 'azure-openai',
+  gemini: 'gemini',
+  vertexai: 'vertexai',
+  github: 'github',
+  copilot: 'copilot',
+  zhipu: 'zhipu',
+  yi: 'yi',
+  moonshot: 'moonshot',
+  baichuan: 'baichuan',
+  dashscope: 'dashscope',
+  stepfun: 'stepfun',
+  doubao: 'doubao',
+  infini: 'infini',
+  minimax: 'minimax',
+  groq: 'groq',
+  together: 'together',
+  fireworks: 'fireworks',
+  nvidia: 'nvidia',
+  grok: 'grok',
+  hyperbolic: 'hyperbolic',
+  mistral: 'mistral',
+  jina: 'jina',
+  perplexity: 'perplexity',
+  modelscope: 'modelscope',
+  xirang: 'xirang',
+  hunyuan: 'hunyuan',
+  'tencent-cloud-ti': 'tencent-cloud-ti',
+  'baidu-cloud': 'baidu-cloud',
+  gpustack: 'gpustack',
+  voyageai: 'voyageai',
+  'aws-bedrock': 'aws-bedrock',
+  poe: 'poe',
+  aionly: 'aionly',
+  longcat: 'longcat',
+  huggingface: 'huggingface',
+  gateway: 'gateway',
+  cerebras: 'cerebras',
+  mimo: 'mimo'
+} as const satisfies Record<SystemProviderId, SystemProviderId>
+
+export type SystemProviderIdTypeMap = typeof SystemProviderIds

packages/shared/utils/index.ts

@@ -0,0 +1,3 @@
+export { defaultAppHeaders } from './headers'
+export { getBaseModelName, getLowerBaseModelName } from './naming'
+export * from './url'

packages/shared/utils/naming.ts

@@ -0,0 +1,36 @@
+/**
+ * 从模型 ID 中提取基础名称。
+ * 例如：
+ * - 'deepseek/deepseek-r1' => 'deepseek-r1'
+ * - 'deepseek-ai/deepseek/deepseek-r1' => 'deepseek-r1'
+ * @param {string} id 模型 ID
+ * @param {string} [delimiter='/'] 分隔符，默认为 '/'
+ * @returns {string} 基础名称
+ */
+export const getBaseModelName = (id: string, delimiter: string = '/'): string => {
+  const parts = id.split(delimiter)
+  return parts[parts.length - 1]
+}
+
+/**
+ * 从模型 ID 中提取基础名称并转换为小写。
+ * 例如：
+ * - 'deepseek/DeepSeek-R1' => 'deepseek-r1'
+ * - 'deepseek-ai/deepseek/DeepSeek-R1' => 'deepseek-r1'
+ * @param {string} id 模型 ID
+ * @param {string} [delimiter='/'] 分隔符，默认为 '/'
+ * @returns {string} 小写的基础名称
+ */
+export const getLowerBaseModelName = (id: string, delimiter: string = '/'): string => {
+  const baseModelName = getBaseModelName(id, delimiter).toLowerCase()
+  // for openrouter
+  if (baseModelName.endsWith(':free')) {
+    return baseModelName.replace(':free', '')
+  }
+
+  // for cherryin
+  if (baseModelName.endsWith('(free)')) {
+    return baseModelName.replace('(free)', '')
+  }
+  return baseModelName
+}

packages/shared/utils/url/index.ts

@@ -0,0 +1,293 @@
+/**
+ * Shared API Utilities
+ *
+ * Common utilities for API URL formatting and validation.
+ * Used by both main process (API Server) and renderer.
+ */
+
+import type { MinimalProvider } from '@shared/provider'
+import { trim } from 'lodash'
+
+// Supported endpoints for routing
+export const SUPPORTED_IMAGE_ENDPOINT_LIST = ['images/generations', 'images/edits', 'predict'] as const
+export const SUPPORTED_ENDPOINT_LIST = [
+  'chat/completions',
+  'responses',
+  'messages',
+  'generateContent',
+  'streamGenerateContent',
+  ...SUPPORTED_IMAGE_ENDPOINT_LIST
+] as const
+
+/**
+ * Removes the trailing slash from a URL string if it exists.
+ */
+export function withoutTrailingSlash<T extends string>(url: T): T {
+  return url.replace(/\/$/, '') as T
+}
+
+/**
+ * Removes the trailing '#' from a URL string if it exists.
+ *
+ * @template T - The string type to preserve type safety
+ * @param {T} url - The URL string to process
+ * @returns {T} The URL string without a trailing '#'
+ *
+ * @example
+ * ```ts
+ * withoutTrailingSharp('https://example.com#') // 'https://example.com'
+ * withoutTrailingSharp('https://example.com')  // 'https://example.com'
+ * ```
+ */
+export function withoutTrailingSharp<T extends string>(url: T): T {
+  return url.replace(/#$/, '') as T
+}
+
+/**
+ * Checks if a URL string ends with a trailing '#' character.
+ *
+ * @template T - The string type to preserve type safety
+ * @param {T} url - The URL string to check
+ * @returns {boolean} True if the URL ends with '#', false otherwise
+ *
+ * @example
+ * ```ts
+ * isWithTrailingSharp('https://example.com#') // true
+ * isWithTrailingSharp('https://example.com')  // false
+ * ```
+ */
+export function isWithTrailingSharp<T extends string>(url: T): boolean {
+  return url.endsWith('#')
+}
+
+/**
+ * Matches a version segment in a path that starts with `/v<number>` and optionally
+ * continues with `alpha` or `beta`. The segment may be followed by `/` or the end
+ * of the string (useful for cases like `/v3alpha/resources`).
+ */
+const VERSION_REGEX_PATTERN = '\\/v\\d+(?:alpha|beta)?(?=\\/|$)'
+
+/**
+ * Matches an API version at the end of a URL (with optional trailing slash).
+ * Used to detect and extract versions only from the trailing position.
+ */
+const TRAILING_VERSION_REGEX = /\/v\d+(?:alpha|beta)?\/?$/i
+
+/**
+ * 判断 host 的 path 中是否包含形如版本的字符串（例如 /v1、/v2beta 等），
+ *
+ * @param host - 要检查的 host 或 path 字符串
+ * @returns 如果 path 中包含版本字符串则返回 true，否则 false
+ */
+export function hasAPIVersion(host?: string): boolean {
+  if (!host) return false
+
+  const regex = new RegExp(VERSION_REGEX_PATTERN, 'i')
+
+  try {
+    const url = new URL(host)
+    return regex.test(url.pathname)
+  } catch {
+    // 若无法作为完整 URL 解析，则当作路径直接检测
+    return regex.test(host)
+  }
+}
+
+/**
+ * 格式化 Azure OpenAI 的 API 主机地址。
+ */
+export function formatAzureOpenAIApiHost(host: string): string {
+  const normalizedHost = withoutTrailingSlash(host)
+    ?.replace(/\/v1$/, '')
+    .replace(/\/openai$/, '')
+  // NOTE: AISDK会添加上`v1`
+  return formatApiHost(normalizedHost + '/openai', false)
+}
+
+export function formatVertexApiHost(
+  provider: MinimalProvider,
+  project: string = 'test-project',
+  location: string = 'us-central1'
+): string {
+  const { apiHost } = provider
+  const trimmedHost = withoutTrailingSlash(trim(apiHost))
+  if (!trimmedHost || trimmedHost.endsWith('aiplatform.googleapis.com')) {
+    const host =
+      location === 'global' ? 'https://aiplatform.googleapis.com' : `https://${location}-aiplatform.googleapis.com`
+    return `${formatApiHost(host)}/projects/${project}/locations/${location}`
+  }
+  return formatApiHost(trimmedHost)
+}
+
+/**
+ * 格式化 Ollama 的 API 主机地址。
+ */
+export function formatOllamaApiHost(host: string): string {
+  const normalizedHost = withoutTrailingSlash(host)
+    ?.replace(/\/v1$/, '')
+    ?.replace(/\/api$/, '')
+    ?.replace(/\/chat$/, '')
+  return formatApiHost(normalizedHost + '/api', false)
+}
+
+/**
+ * Formats an API host URL by normalizing it and optionally appending an API version.
+ *
+ * @param host - The API host URL to format. Leading/trailing whitespace will be trimmed and trailing slashes removed.
+ * @param supportApiVersion - Whether the API version is supported. Defaults to `true`.
+ * @param apiVersion - The API version to append if needed. Defaults to `'v1'`.
+ *
+ * @returns The formatted API host URL. If the host is empty after normalization, returns an empty string.
+ *          If the host ends with '#', API version is not supported, or the host already contains a version, returns the normalized host with trailing '#' removed.
+ *          Otherwise, returns the host with the API version appended.
+ *
+ * @example
+ * formatApiHost('https://api.example.com/') // Returns 'https://api.example.com/v1'
+ * formatApiHost('https://api.example.com#') // Returns 'https://api.example.com'
+ * formatApiHost('https://api.example.com/v2', true, 'v1') // Returns 'https://api.example.com/v2'
+ */
+export function formatApiHost(host?: string, supportApiVersion: boolean = true, apiVersion: string = 'v1'): string {
+  const normalizedHost = withoutTrailingSlash(trim(host))
+  if (!normalizedHost) {
+    return ''
+  }
+
+  const shouldAppendApiVersion = !(normalizedHost.endsWith('#') || !supportApiVersion || hasAPIVersion(normalizedHost))
+
+  if (shouldAppendApiVersion) {
+    return `${normalizedHost}/${apiVersion}`
+  } else {
+    return withoutTrailingSharp(normalizedHost)
+  }
+}
+
+/**
+ * Converts an API host URL into separate base URL and endpoint components.
+ *
+ * This function extracts endpoint information from a composite API host string.
+ * If the host ends with '#', it attempts to match the preceding part against the supported endpoint list.
+ *
+ * @param apiHost - The API host string to parse
+ * @returns An object containing:
+ *   - `baseURL`: The base URL without the endpoint suffix
+ *   - `endpoint`: The matched endpoint identifier, or empty string if no match found
+ *
+ * @example
+ * routeToEndpoint('https://api.example.com/openai/chat/completions#')
+ * // Returns: { baseURL: 'https://api.example.com/v1', endpoint: 'chat/completions' }
+ *
+ * @example
+ * routeToEndpoint('https://api.example.com/v1')
+ * // Returns: { baseURL: 'https://api.example.com/v1', endpoint: '' }
+ */
+export function routeToEndpoint(apiHost: string): { baseURL: string; endpoint: string } {
+  const trimmedHost = (apiHost || '').trim()
+  if (!trimmedHost.endsWith('#')) {
+    return { baseURL: trimmedHost, endpoint: '' }
+  }
+  // Remove trailing #
+  const host = trimmedHost.slice(0, -1)
+  const endpointMatch = SUPPORTED_ENDPOINT_LIST.find((endpoint) => host.endsWith(endpoint))
+  if (!endpointMatch) {
+    const baseURL = withoutTrailingSlash(host)
+    return { baseURL, endpoint: '' }
+  }
+  const baseSegment = host.slice(0, host.length - endpointMatch.length)
+  const baseURL = withoutTrailingSlash(baseSegment).replace(/:$/, '') // Remove trailing colon (gemini special case)
+  return { baseURL, endpoint: endpointMatch }
+}
+
+/**
+ * Gets the AI SDK compatible base URL from a provider's apiHost.
+ *
+ * AI SDK expects baseURL WITH version suffix (e.g., /v1).
+ * This function:
+ * 1. Handles '#' endpoint routing format
+ * 2. Ensures the URL has a version suffix (adds /v1 if missing)
+ *
+ * @param apiHost - The provider's apiHost value (may or may not have /v1)
+ * @param apiVersion - The API version to use if missing. Defaults to 'v1'.
+ * @returns The baseURL suitable for AI SDK (with version suffix)
+ *
+ * @example
+ * getAiSdkBaseUrl('https://api.openai.com') // 'https://api.openai.com/v1'
+ * getAiSdkBaseUrl('https://api.openai.com/v1') // 'https://api.openai.com/v1'
+ * getAiSdkBaseUrl('https://api.example.com/chat/completions#') // 'https://api.example.com'
+ */
+export function getAiSdkBaseUrl(apiHost: string, apiVersion: string = 'v1'): string {
+  // First handle '#' endpoint routing format
+  const { baseURL } = routeToEndpoint(apiHost)
+
+  // If already has version, return as-is
+  if (hasAPIVersion(baseURL)) {
+    return withoutTrailingSlash(baseURL)
+  }
+
+  // Add version suffix
+  return `${withoutTrailingSlash(baseURL)}/${apiVersion}`
+}
+
+/**
+ * Validates an API host address.
+ *
+ * @param apiHost - The API host address to validate
+ * @returns true if valid URL with http/https protocol, false otherwise
+ */
+export function validateApiHost(apiHost: string): boolean {
+  if (!apiHost || !apiHost.trim()) {
+    return true // Allow empty
+  }
+  try {
+    const url = new URL(apiHost.trim())
+    return url.protocol === 'http:' || url.protocol === 'https:'
+  } catch {
+    return false
+  }
+}
+
+/**
+ * Extracts the trailing API version segment from a URL path.
+ *
+ * This function extracts API version patterns (e.g., `v1`, `v2beta`) from the end of a URL.
+ * Only versions at the end of the path are extracted, not versions in the middle.
+ * The returned version string does not include leading or trailing slashes.
+ *
+ * @param {string} url - The URL string to parse.
+ * @returns {string | undefined} The trailing API version found (e.g., 'v1', 'v2beta'), or undefined if none found.
+ *
+ * @example
+ * getTrailingApiVersion('https://api.example.com/v1') // 'v1'
+ * getTrailingApiVersion('https://api.example.com/v2beta/') // 'v2beta'
+ * getTrailingApiVersion('https://api.example.com/v1/chat') // undefined (version not at end)
+ * getTrailingApiVersion('https://gateway.ai.cloudflare.com/v1/xxx/v1beta') // 'v1beta'
+ * getTrailingApiVersion('https://api.example.com') // undefined
+ */
+export function getTrailingApiVersion(url: string): string | undefined {
+  const match = url.match(TRAILING_VERSION_REGEX)
+
+  if (match) {
+    // Extract version without leading slash and trailing slash
+    return match[0].replace(/^\//, '').replace(/\/$/, '')
+  }
+
+  return undefined
+}
+
+/**
+ * Removes the trailing API version segment from a URL path.
+ *
+ * This function removes API version patterns (e.g., `/v1`, `/v2beta`) from the end of a URL.
+ * Only versions at the end of the path are removed, not versions in the middle.
+ *
+ * @param {string} url - The URL string to process.
+ * @returns {string} The URL with the trailing API version removed, or the original URL if no trailing version found.
+ *
+ * @example
+ * withoutTrailingApiVersion('https://api.example.com/v1') // 'https://api.example.com'
+ * withoutTrailingApiVersion('https://api.example.com/v2beta/') // 'https://api.example.com'
+ * withoutTrailingApiVersion('https://api.example.com/v1/chat') // 'https://api.example.com/v1/chat' (no change)
+ * withoutTrailingApiVersion('https://api.example.com') // 'https://api.example.com'
+ */
+export function withoutTrailingApiVersion(url: string): string {
+  return url.replace(TRAILING_VERSION_REGEX, '')
+}

src/main/apiServer/adapters/AiSdkToAnthropicSSE.ts

@@ -0,0 +1,637 @@
+/**
+ * AI SDK to Anthropic SSE Adapter
+ *
+ * Converts AI SDK's fullStream (TextStreamPart) events to Anthropic Messages API SSE format.
+ * This enables any AI provider supported by AI SDK to be exposed via Anthropic-compatible API.
+ *
+ * Anthropic SSE Event Flow:
+ * 1. message_start - Initial message with metadata
+ * 2. content_block_start - Begin a content block (text, tool_use, thinking)
+ * 3. content_block_delta - Incremental content updates
+ * 4. content_block_stop - End a content block
+ * 5. message_delta - Updates to overall message (stop_reason, usage)
+ * 6. message_stop - Stream complete
+ *
+ * @see https://docs.anthropic.com/en/api/messages-streaming
+ */
+
+import type {
+  ContentBlock,
+  InputJSONDelta,
+  Message,
+  MessageDeltaUsage,
+  RawContentBlockDeltaEvent,
+  RawContentBlockStartEvent,
+  RawContentBlockStopEvent,
+  RawMessageDeltaEvent,
+  RawMessageStartEvent,
+  RawMessageStopEvent,
+  RawMessageStreamEvent,
+  StopReason,
+  TextBlock,
+  TextDelta,
+  ThinkingBlock,
+  ThinkingDelta,
+  ToolUseBlock,
+  Usage
+} from '@anthropic-ai/sdk/resources/messages'
+import { loggerService } from '@logger'
+import { type FinishReason, type LanguageModelUsage, type TextStreamPart, type ToolSet } from 'ai'
+
+import { googleReasoningCache, openRouterReasoningCache } from '../services/reasoning-cache'
+
+const logger = loggerService.withContext('AiSdkToAnthropicSSE')
+
+interface ContentBlockState {
+  type: 'text' | 'tool_use' | 'thinking'
+  index: number
+  started: boolean
+  content: string
+  // For tool_use blocks
+  toolId?: string
+  toolName?: string
+  toolInput?: string
+}
+
+interface AdapterState {
+  messageId: string
+  model: string
+  inputTokens: number
+  outputTokens: number
+  cacheInputTokens: number
+  currentBlockIndex: number
+  blocks: Map<number, ContentBlockState>
+  textBlockIndex: number | null
+  // Track multiple thinking blocks by their reasoning ID
+  thinkingBlocks: Map<string, number> // reasoningId -> blockIndex
+  currentThinkingId: string | null // Currently active thinking block ID
+  toolBlocks: Map<string, number> // toolCallId -> blockIndex
+  stopReason: StopReason | null
+  hasEmittedMessageStart: boolean
+}
+
+export type SSEEventCallback = (event: RawMessageStreamEvent) => void
+
+export interface AiSdkToAnthropicSSEOptions {
+  model: string
+  messageId?: string
+  inputTokens?: number
+  onEvent: SSEEventCallback
+}
+
+/**
+ * Adapter that converts AI SDK fullStream events to Anthropic SSE events
+ */
+export class AiSdkToAnthropicSSE {
+  private state: AdapterState
+  private onEvent: SSEEventCallback
+
+  constructor(options: AiSdkToAnthropicSSEOptions) {
+    this.onEvent = options.onEvent
+    this.state = {
+      messageId: options.messageId || `msg_${Date.now()}_${Math.random().toString(36).substring(2, 11)}`,
+      model: options.model,
+      inputTokens: options.inputTokens || 0,
+      outputTokens: 0,
+      cacheInputTokens: 0,
+      currentBlockIndex: 0,
+      blocks: new Map(),
+      textBlockIndex: null,
+      thinkingBlocks: new Map(),
+      currentThinkingId: null,
+      toolBlocks: new Map(),
+      stopReason: null,
+      hasEmittedMessageStart: false
+    }
+  }
+
+  /**
+   * Process the AI SDK stream and emit Anthropic SSE events
+   */
+  async processStream(fullStream: ReadableStream<TextStreamPart<ToolSet>>): Promise<void> {
+    const reader = fullStream.getReader()
+
+    try {
+      // Emit message_start at the beginning
+      this.emitMessageStart()
+
+      while (true) {
+        const { done, value } = await reader.read()
+
+        if (done) {
+          break
+        }
+
+        this.processChunk(value)
+      }
+
+      // Ensure all blocks are closed and emit final events
+      this.finalize()
+    } catch (error) {
+      await reader.cancel()
+      throw error
+    } finally {
+      reader.releaseLock()
+    }
+  }
+
+  /**
+   * Process a single AI SDK chunk and emit corresponding Anthropic events
+   */
+  private processChunk(chunk: TextStreamPart<ToolSet>): void {
+    logger.silly('AiSdkToAnthropicSSE - Processing chunk:', { chunk: JSON.stringify(chunk) })
+    switch (chunk.type) {
+      // === Text Events ===
+      case 'text-start':
+        this.startTextBlock()
+        break
+
+      case 'text-delta':
+        this.emitTextDelta(chunk.text || '')
+        break
+
+      case 'text-end':
+        this.stopTextBlock()
+        break
+
+      // === Reasoning/Thinking Events ===
+      case 'reasoning-start': {
+        const reasoningId = chunk.id
+        this.startThinkingBlock(reasoningId)
+        break
+      }
+
+      case 'reasoning-delta': {
+        const reasoningId = chunk.id
+        this.emitThinkingDelta(chunk.text || '', reasoningId)
+        break
+      }
+
+      case 'reasoning-end': {
+        const reasoningId = chunk.id
+        this.stopThinkingBlock(reasoningId)
+        break
+      }
+
+      // === Tool Events ===
+      case 'tool-call':
+        if (googleReasoningCache && chunk.providerMetadata?.google?.thoughtSignature) {
+          googleReasoningCache.set(
+            `google-${chunk.toolName}`,
+            chunk.providerMetadata?.google?.thoughtSignature as string
+          )
+        }
+        if (
+          openRouterReasoningCache &&
+          chunk.providerMetadata?.openrouter?.reasoning_details &&
+          Array.isArray(chunk.providerMetadata.openrouter.reasoning_details)
+        ) {
+          openRouterReasoningCache.set(
+            `openrouter-${chunk.toolCallId}`,
+            JSON.parse(JSON.stringify(chunk.providerMetadata.openrouter.reasoning_details))
+          )
+        }
+        this.handleToolCall({
+          type: 'tool-call',
+          toolCallId: chunk.toolCallId,
+          toolName: chunk.toolName,
+          args: chunk.input
+        })
+        break
+
+      case 'tool-result':
+        // this.handleToolResult({
+        //   type: 'tool-result',
+        //   toolCallId: chunk.toolCallId,
+        //   toolName: chunk.toolName,
+        //   args: chunk.input,
+        //   result: chunk.output
+        // })
+        break
+
+      case 'finish-step':
+        if (chunk.finishReason === 'tool-calls') {
+          this.state.stopReason = 'tool_use'
+        }
+        break
+
+      case 'finish':
+        this.handleFinish(chunk)
+        break
+
+      case 'error':
+        throw chunk.error
+
+      // Ignore other event types
+      default:
+        break
+    }
+  }
+
+  private emitMessageStart(): void {
+    if (this.state.hasEmittedMessageStart) return
+
+    this.state.hasEmittedMessageStart = true
+
+    const usage: Usage = {
+      input_tokens: this.state.inputTokens,
+      output_tokens: 0,
+      cache_creation_input_tokens: 0,
+      cache_read_input_tokens: 0,
+      server_tool_use: null
+    }
+
+    const message: Message = {
+      id: this.state.messageId,
+      type: 'message',
+      role: 'assistant',
+      content: [],
+      model: this.state.model,
+      stop_reason: null,
+      stop_sequence: null,
+      usage
+    }
+
+    const event: RawMessageStartEvent = {
+      type: 'message_start',
+      message
+    }
+
+    this.onEvent(event)
+  }
+
+  private startTextBlock(): void {
+    // If we already have a text block, don't create another
+    if (this.state.textBlockIndex !== null) return
+
+    const index = this.state.currentBlockIndex++
+    this.state.textBlockIndex = index
+    this.state.blocks.set(index, {
+      type: 'text',
+      index,
+      started: true,
+      content: ''
+    })
+
+    const contentBlock: TextBlock = {
+      type: 'text',
+      text: '',
+      citations: null
+    }
+
+    const event: RawContentBlockStartEvent = {
+      type: 'content_block_start',
+      index,
+      content_block: contentBlock
+    }
+
+    this.onEvent(event)
+  }
+
+  private emitTextDelta(text: string): void {
+    if (!text) return
+
+    // Auto-start text block if not started
+    if (this.state.textBlockIndex === null) {
+      this.startTextBlock()
+    }
+
+    const index = this.state.textBlockIndex!
+    const block = this.state.blocks.get(index)
+    if (block) {
+      block.content += text
+    }
+
+    const delta: TextDelta = {
+      type: 'text_delta',
+      text
+    }
+
+    const event: RawContentBlockDeltaEvent = {
+      type: 'content_block_delta',
+      index,
+      delta
+    }
+
+    this.onEvent(event)
+  }
+
+  private stopTextBlock(): void {
+    if (this.state.textBlockIndex === null) return
+
+    const index = this.state.textBlockIndex
+
+    const event: RawContentBlockStopEvent = {
+      type: 'content_block_stop',
+      index
+    }
+
+    this.onEvent(event)
+    this.state.textBlockIndex = null
+  }
+
+  private startThinkingBlock(reasoningId: string): void {
+    // Check if this thinking block already exists
+    if (this.state.thinkingBlocks.has(reasoningId)) return
+
+    const index = this.state.currentBlockIndex++
+    this.state.thinkingBlocks.set(reasoningId, index)
+    this.state.currentThinkingId = reasoningId
+    this.state.blocks.set(index, {
+      type: 'thinking',
+      index,
+      started: true,
+      content: ''
+    })
+
+    const contentBlock: ThinkingBlock = {
+      type: 'thinking',
+      thinking: '',
+      signature: ''
+    }
+
+    const event: RawContentBlockStartEvent = {
+      type: 'content_block_start',
+      index,
+      content_block: contentBlock
+    }
+
+    this.onEvent(event)
+  }
+
+  private emitThinkingDelta(text: string, reasoningId?: string): void {
+    if (!text) return
+
+    // Determine which thinking block to use
+    const targetId = reasoningId || this.state.currentThinkingId
+    if (!targetId) {
+      // Auto-start thinking block if not started
+      const newId = `reasoning_${Date.now()}`
+      this.startThinkingBlock(newId)
+      return this.emitThinkingDelta(text, newId)
+    }
+
+    const index = this.state.thinkingBlocks.get(targetId)
+    if (index === undefined) {
+      // If the block doesn't exist, create it
+      this.startThinkingBlock(targetId)
+      return this.emitThinkingDelta(text, targetId)
+    }
+
+    const block = this.state.blocks.get(index)
+    if (block) {
+      block.content += text
+    }
+
+    const delta: ThinkingDelta = {
+      type: 'thinking_delta',
+      thinking: text
+    }
+
+    const event: RawContentBlockDeltaEvent = {
+      type: 'content_block_delta',
+      index,
+      delta
+    }
+
+    this.onEvent(event)
+  }
+
+  private stopThinkingBlock(reasoningId?: string): void {
+    const targetId = reasoningId || this.state.currentThinkingId
+    if (!targetId) return
+
+    const index = this.state.thinkingBlocks.get(targetId)
+    if (index === undefined) return
+
+    const event: RawContentBlockStopEvent = {
+      type: 'content_block_stop',
+      index
+    }
+
+    this.onEvent(event)
+    this.state.thinkingBlocks.delete(targetId)
+
+    // Update currentThinkingId if we just closed the current one
+    if (this.state.currentThinkingId === targetId) {
+      // Set to the most recent remaining thinking block, or null if none
+      const remaining = Array.from(this.state.thinkingBlocks.keys())
+      this.state.currentThinkingId = remaining.length > 0 ? remaining[remaining.length - 1] : null
+    }
+  }
+
+  private handleToolCall(chunk: { type: 'tool-call'; toolCallId: string; toolName: string; args: unknown }): void {
+    const { toolCallId, toolName, args } = chunk
+
+    // Check if we already have this tool call
+    if (this.state.toolBlocks.has(toolCallId)) {
+      return
+    }
+
+    const index = this.state.currentBlockIndex++
+    this.state.toolBlocks.set(toolCallId, index)
+
+    const inputJson = JSON.stringify(args)
+
+    this.state.blocks.set(index, {
+      type: 'tool_use',
+      index,
+      started: true,
+      content: inputJson,
+      toolId: toolCallId,
+      toolName,
+      toolInput: inputJson
+    })
+
+    // Emit content_block_start for tool_use
+    const contentBlock: ToolUseBlock = {
+      type: 'tool_use',
+      id: toolCallId,
+      name: toolName,
+      input: {}
+    }
+
+    const startEvent: RawContentBlockStartEvent = {
+      type: 'content_block_start',
+      index,
+      content_block: contentBlock
+    }
+
+    this.onEvent(startEvent)
+
+    // Emit the full input as a delta (Anthropic streams JSON incrementally)
+    const delta: InputJSONDelta = {
+      type: 'input_json_delta',
+      partial_json: inputJson
+    }
+
+    const deltaEvent: RawContentBlockDeltaEvent = {
+      type: 'content_block_delta',
+      index,
+      delta
+    }
+
+    this.onEvent(deltaEvent)
+
+    // Emit content_block_stop
+    const stopEvent: RawContentBlockStopEvent = {
+      type: 'content_block_stop',
+      index
+    }
+
+    this.onEvent(stopEvent)
+
+    // Mark that we have tool use
+    this.state.stopReason = 'tool_use'
+  }
+
+  private handleFinish(chunk: { type: 'finish'; finishReason?: FinishReason; totalUsage?: LanguageModelUsage }): void {
+    // Update usage
+    if (chunk.totalUsage) {
+      this.state.inputTokens = chunk.totalUsage.inputTokens || 0
+      this.state.outputTokens = chunk.totalUsage.outputTokens || 0
+      this.state.cacheInputTokens = chunk.totalUsage.cachedInputTokens || 0
+    }
+
+    // Determine finish reason
+    if (!this.state.stopReason) {
+      switch (chunk.finishReason) {
+        case 'stop':
+          this.state.stopReason = 'end_turn'
+          break
+        case 'length':
+          this.state.stopReason = 'max_tokens'
+          break
+        case 'tool-calls':
+          this.state.stopReason = 'tool_use'
+          break
+        case 'content-filter':
+          this.state.stopReason = 'refusal'
+          break
+        default:
+          this.state.stopReason = 'end_turn'
+      }
+    }
+  }
+
+  private finalize(): void {
+    // Close any open blocks
+    if (this.state.textBlockIndex !== null) {
+      this.stopTextBlock()
+    }
+    // Close all open thinking blocks
+    for (const reasoningId of this.state.thinkingBlocks.keys()) {
+      this.stopThinkingBlock(reasoningId)
+    }
+
+    // Emit message_delta with final stop reason and usage
+    const usage: MessageDeltaUsage = {
+      output_tokens: this.state.outputTokens,
+      input_tokens: this.state.inputTokens,
+      cache_creation_input_tokens: this.state.cacheInputTokens,
+      cache_read_input_tokens: null,
+      server_tool_use: null
+    }
+
+    const messageDeltaEvent: RawMessageDeltaEvent = {
+      type: 'message_delta',
+      delta: {
+        stop_reason: this.state.stopReason || 'end_turn',
+        stop_sequence: null
+      },
+      usage
+    }
+
+    this.onEvent(messageDeltaEvent)
+
+    // Emit message_stop
+    const messageStopEvent: RawMessageStopEvent = {
+      type: 'message_stop'
+    }
+
+    this.onEvent(messageStopEvent)
+  }
+
+  /**
+   * Set input token count (typically from prompt)
+   */
+  setInputTokens(count: number): void {
+    this.state.inputTokens = count
+  }
+
+  /**
+   * Get the current message ID
+   */
+  getMessageId(): string {
+    return this.state.messageId
+  }
+
+  /**
+   * Build a complete Message object for non-streaming responses
+   */
+  buildNonStreamingResponse(): Message {
+    const content: ContentBlock[] = []
+
+    // Collect all content blocks in order
+    const sortedBlocks = Array.from(this.state.blocks.values()).sort((a, b) => a.index - b.index)
+
+    for (const block of sortedBlocks) {
+      switch (block.type) {
+        case 'text':
+          content.push({
+            type: 'text',
+            text: block.content,
+            citations: null
+          } as TextBlock)
+          break
+        case 'thinking':
+          content.push({
+            type: 'thinking',
+            thinking: block.content
+          } as ThinkingBlock)
+          break
+        case 'tool_use':
+          content.push({
+            type: 'tool_use',
+            id: block.toolId!,
+            name: block.toolName!,
+            input: JSON.parse(block.toolInput || '{}')
+          } as ToolUseBlock)
+          break
+      }
+    }
+
+    return {
+      id: this.state.messageId,
+      type: 'message',
+      role: 'assistant',
+      content,
+      model: this.state.model,
+      stop_reason: this.state.stopReason || 'end_turn',
+      stop_sequence: null,
+      usage: {
+        input_tokens: this.state.inputTokens,
+        output_tokens: this.state.outputTokens,
+        cache_creation_input_tokens: 0,
+        cache_read_input_tokens: 0,
+        server_tool_use: null
+      }
+    }
+  }
+}
+
+/**
+ * Format an Anthropic SSE event for HTTP streaming
+ */
+export function formatSSEEvent(event: RawMessageStreamEvent): string {
+  return `event: ${event.type}\ndata: ${JSON.stringify(event)}\n\n`
+}
+
+/**
+ * Create a done marker for SSE stream
+ */
+export function formatSSEDone(): string {
+  return 'data: [DONE]\n\n'
+}
+
+export default AiSdkToAnthropicSSE

src/main/apiServer/adapters/__tests__/AiSdkToAnthropicSSE.test.ts

@@ -0,0 +1,536 @@
+import type { RawMessageStreamEvent } from '@anthropic-ai/sdk/resources/messages'
+import type { FinishReason, LanguageModelUsage, TextStreamPart, ToolSet } from 'ai'
+import { describe, expect, it, vi } from 'vitest'
+
+import { AiSdkToAnthropicSSE, formatSSEDone, formatSSEEvent } from '../AiSdkToAnthropicSSE'
+
+const createTextDelta = (text: string, id = 'text_0'): TextStreamPart<ToolSet> => ({
+  type: 'text-delta',
+  id,
+  text
+})
+
+const createTextStart = (id = 'text_0'): TextStreamPart<ToolSet> => ({
+  type: 'text-start',
+  id
+})
+
+const createTextEnd = (id = 'text_0'): TextStreamPart<ToolSet> => ({
+  type: 'text-end',
+  id
+})
+
+const createFinish = (
+  finishReason: FinishReason | undefined = 'stop',
+  totalUsage?: Partial<LanguageModelUsage>
+): TextStreamPart<ToolSet> => {
+  const defaultUsage: LanguageModelUsage = {
+    inputTokens: 0,
+    outputTokens: 0,
+    totalTokens: 0
+  }
+  const event: TextStreamPart<ToolSet> = {
+    type: 'finish',
+    finishReason: finishReason || 'stop',
+    totalUsage: { ...defaultUsage, ...totalUsage }
+  }
+  return event
+}
+
+// Helper to create stream
+function createMockStream(events: readonly TextStreamPart<ToolSet>[]) {
+  return new ReadableStream<TextStreamPart<ToolSet>>({
+    start(controller) {
+      for (const event of events) {
+        controller.enqueue(event)
+      }
+      controller.close()
+    }
+  })
+}
+
+describe('AiSdkToAnthropicSSE', () => {
+  describe('Text Processing', () => {
+    it('should emit message_start and process text-delta events', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      // Create a mock stream with text events
+      const stream = createMockStream([createTextDelta('Hello'), createTextDelta(' world'), createFinish('stop')])
+
+      await adapter.processStream(stream)
+
+      // Verify message_start
+      expect(events[0]).toMatchObject({
+        type: 'message_start',
+        message: {
+          role: 'assistant',
+          model: 'test:model'
+        }
+      })
+
+      // Verify content_block_start for text
+      expect(events[1]).toMatchObject({
+        type: 'content_block_start',
+        content_block: { type: 'text' }
+      })
+
+      // Verify text deltas
+      expect(events[2]).toMatchObject({
+        type: 'content_block_delta',
+        delta: { type: 'text_delta', text: 'Hello' }
+      })
+      expect(events[3]).toMatchObject({
+        type: 'content_block_delta',
+        delta: { type: 'text_delta', text: ' world' }
+      })
+
+      // Verify content_block_stop
+      expect(events[4]).toMatchObject({
+        type: 'content_block_stop'
+      })
+
+      // Verify message_delta with stop_reason
+      expect(events[5]).toMatchObject({
+        type: 'message_delta',
+        delta: { stop_reason: 'end_turn' }
+      })
+
+      // Verify message_stop
+      expect(events[6]).toMatchObject({
+        type: 'message_stop'
+      })
+    })
+
+    it('should handle text-start and text-end events', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = createMockStream([
+        createTextStart(),
+        createTextDelta('Test'),
+        createTextEnd(),
+        createFinish('stop')
+      ])
+
+      await adapter.processStream(stream)
+
+      // Should have content_block_start, delta, and content_block_stop
+      const blockEvents = events.filter((e) => e.type.startsWith('content_block'))
+      expect(blockEvents.length).toBeGreaterThanOrEqual(3)
+    })
+
+    it('should auto-start text block if not explicitly started', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = createMockStream([createTextDelta('Auto-started'), createFinish('stop')])
+
+      await adapter.processStream(stream)
+
+      // Should automatically emit content_block_start
+      expect(events.some((e) => e.type === 'content_block_start')).toBe(true)
+    })
+  })
+
+  describe('Tool Call Processing', () => {
+    it('should emit tool_use block for tool-call events', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = createMockStream([
+        {
+          type: 'tool-call',
+          toolCallId: 'call_123',
+          toolName: 'get_weather',
+          input: { location: 'SF' }
+        },
+        createFinish('tool-calls')
+      ])
+
+      await adapter.processStream(stream)
+
+      // Find tool_use block events
+      const blockStart = events.find((e) => {
+        if (e.type === 'content_block_start') {
+          return e.content_block.type === 'tool_use'
+        }
+        return false
+      })
+      expect(blockStart).toBeDefined()
+      if (blockStart && blockStart.type === 'content_block_start') {
+        expect(blockStart.content_block).toMatchObject({
+          type: 'tool_use',
+          id: 'call_123',
+          name: 'get_weather'
+        })
+      }
+
+      // Should emit input_json_delta
+      const delta = events.find((e) => {
+        if (e.type === 'content_block_delta') {
+          return e.delta.type === 'input_json_delta'
+        }
+        return false
+      })
+      expect(delta).toBeDefined()
+
+      // Should have stop_reason as tool_use
+      const messageDelta = events.find((e) => e.type === 'message_delta')
+      if (messageDelta && messageDelta.type === 'message_delta') {
+        expect(messageDelta.delta.stop_reason).toBe('tool_use')
+      }
+    })
+
+    it('should not create duplicate tool blocks', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const toolCallEvent: TextStreamPart<ToolSet> = {
+        type: 'tool-call',
+        toolCallId: 'call_123',
+        toolName: 'test_tool',
+        input: {}
+      }
+      const stream = createMockStream([toolCallEvent, toolCallEvent, createFinish()])
+
+      await adapter.processStream(stream)
+
+      // Should only have one tool_use block
+      const toolBlocks = events.filter((e) => {
+        if (e.type === 'content_block_start') {
+          return e.content_block.type === 'tool_use'
+        }
+        return false
+      })
+      expect(toolBlocks.length).toBe(1)
+    })
+  })
+
+  describe('Reasoning/Thinking Processing', () => {
+    it('should emit thinking block for reasoning events', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = createMockStream([
+        { type: 'reasoning-start', id: 'reason_1' },
+        { type: 'reasoning-delta', id: 'reason_1', text: 'Thinking...' },
+        { type: 'reasoning-end', id: 'reason_1' },
+        createFinish()
+      ])
+
+      await adapter.processStream(stream)
+
+      // Find thinking block events
+      const blockStart = events.find((e) => {
+        if (e.type === 'content_block_start') {
+          return e.content_block.type === 'thinking'
+        }
+        return false
+      })
+      expect(blockStart).toBeDefined()
+
+      // Should emit thinking_delta
+      const delta = events.find((e) => {
+        if (e.type === 'content_block_delta') {
+          return e.delta.type === 'thinking_delta'
+        }
+        return false
+      })
+      expect(delta).toBeDefined()
+      if (delta && delta.type === 'content_block_delta' && delta.delta.type === 'thinking_delta') {
+        expect(delta.delta.thinking).toBe('Thinking...')
+      }
+    })
+
+    it('should handle multiple thinking blocks', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = createMockStream([
+        { type: 'reasoning-start', id: 'reason_1' },
+        { type: 'reasoning-delta', id: 'reason_1', text: 'First thought' },
+        { type: 'reasoning-start', id: 'reason_2' },
+        { type: 'reasoning-delta', id: 'reason_2', text: 'Second thought' },
+        { type: 'reasoning-end', id: 'reason_1' },
+        { type: 'reasoning-end', id: 'reason_2' },
+        createFinish()
+      ])
+
+      await adapter.processStream(stream)
+
+      // Should have two thinking blocks
+      const thinkingBlocks = events.filter((e) => {
+        if (e.type === 'content_block_start') {
+          return e.content_block.type === 'thinking'
+        }
+        return false
+      })
+      expect(thinkingBlocks.length).toBe(2)
+    })
+  })
+
+  describe('Finish Reasons', () => {
+    it('should map finish reasons correctly', async () => {
+      const testCases: Array<{
+        aiSdkReason: FinishReason
+        expectedReason: string
+      }> = [
+        { aiSdkReason: 'stop', expectedReason: 'end_turn' },
+        { aiSdkReason: 'length', expectedReason: 'max_tokens' },
+        { aiSdkReason: 'tool-calls', expectedReason: 'tool_use' },
+        { aiSdkReason: 'content-filter', expectedReason: 'refusal' }
+      ]
+
+      for (const { aiSdkReason, expectedReason } of testCases) {
+        const events: RawMessageStreamEvent[] = []
+        const adapter = new AiSdkToAnthropicSSE({
+          model: 'test:model',
+          onEvent: (event) => events.push(event)
+        })
+
+        const stream = createMockStream([createFinish(aiSdkReason)])
+
+        await adapter.processStream(stream)
+
+        const messageDelta = events.find((e) => e.type === 'message_delta')
+        if (messageDelta && messageDelta.type === 'message_delta') {
+          expect(messageDelta.delta.stop_reason).toBe(expectedReason)
+        }
+      }
+    })
+  })
+
+  describe('Usage Tracking', () => {
+    it('should track token usage', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        inputTokens: 100,
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = createMockStream([
+        createTextDelta('Hello'),
+        createFinish('stop', {
+          inputTokens: 100,
+          outputTokens: 50,
+          cachedInputTokens: 20
+        })
+      ])
+
+      await adapter.processStream(stream)
+
+      const messageDelta = events.find((e) => e.type === 'message_delta')
+      if (messageDelta && messageDelta.type === 'message_delta') {
+        expect(messageDelta.usage).toMatchObject({
+          input_tokens: 100,
+          output_tokens: 50,
+          cache_creation_input_tokens: 20
+        })
+      }
+    })
+  })
+
+  describe('Non-Streaming Response', () => {
+    it('should build complete message for non-streaming', async () => {
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: vi.fn()
+      })
+
+      const stream = createMockStream([
+        createTextDelta('Hello world'),
+        {
+          type: 'tool-call',
+          toolCallId: 'call_1',
+          toolName: 'test',
+          input: { arg: 'value' }
+        },
+        createFinish('tool-calls', { inputTokens: 10, outputTokens: 20 })
+      ])
+
+      await adapter.processStream(stream)
+
+      const response = adapter.buildNonStreamingResponse()
+
+      expect(response).toMatchObject({
+        type: 'message',
+        role: 'assistant',
+        model: 'test:model',
+        stop_reason: 'tool_use'
+      })
+
+      expect(response.content).toHaveLength(2)
+      expect(response.content[0]).toMatchObject({
+        type: 'text',
+        text: 'Hello world'
+      })
+      expect(response.content[1]).toMatchObject({
+        type: 'tool_use',
+        id: 'call_1',
+        name: 'test',
+        input: { arg: 'value' }
+      })
+
+      expect(response.usage).toMatchObject({
+        input_tokens: 10,
+        output_tokens: 20
+      })
+    })
+  })
+
+  describe('Error Handling', () => {
+    it('should throw on error events', async () => {
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: vi.fn()
+      })
+
+      const testError = new Error('Test error')
+      const stream = createMockStream([{ type: 'error', error: testError }])
+
+      await expect(adapter.processStream(stream)).rejects.toThrow('Test error')
+    })
+  })
+
+  describe('Edge Cases', () => {
+    it('should handle empty stream', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = new ReadableStream<TextStreamPart<ToolSet>>({
+        start(controller) {
+          controller.close()
+        }
+      })
+
+      await adapter.processStream(stream)
+
+      // Should still emit message_start, message_delta, and message_stop
+      expect(events.some((e) => e.type === 'message_start')).toBe(true)
+      expect(events.some((e) => e.type === 'message_delta')).toBe(true)
+      expect(events.some((e) => e.type === 'message_stop')).toBe(true)
+    })
+
+    it('should handle empty text deltas', async () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      const stream = createMockStream([createTextDelta(''), createTextDelta(''), createFinish()])
+
+      await adapter.processStream(stream)
+
+      // Should not emit deltas for empty text
+      const deltas = events.filter((e) => e.type === 'content_block_delta')
+      expect(deltas.length).toBe(0)
+    })
+  })
+
+  describe('Utility Functions', () => {
+    it('should format SSE events correctly', () => {
+      const event: RawMessageStreamEvent = {
+        type: 'message_start',
+        message: {
+          id: 'msg_123',
+          type: 'message',
+          role: 'assistant',
+          content: [],
+          model: 'test',
+          stop_reason: null,
+          stop_sequence: null,
+          usage: {
+            input_tokens: 10,
+            output_tokens: 0,
+            cache_creation_input_tokens: 0,
+            cache_read_input_tokens: 0,
+            server_tool_use: null
+          }
+        }
+      }
+
+      const formatted = formatSSEEvent(event)
+
+      expect(formatted).toContain('event: message_start')
+      expect(formatted).toContain('data: ')
+      expect(formatted).toContain('"type":"message_start"')
+      expect(formatted.endsWith('\n\n')).toBe(true)
+    })
+
+    it('should format SSE done marker correctly', () => {
+      const done = formatSSEDone()
+
+      expect(done).toBe('data: [DONE]\n\n')
+    })
+  })
+
+  describe('Message ID', () => {
+    it('should use provided message ID', () => {
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        messageId: 'custom_msg_123',
+        onEvent: vi.fn()
+      })
+
+      expect(adapter.getMessageId()).toBe('custom_msg_123')
+    })
+
+    it('should generate message ID if not provided', () => {
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: vi.fn()
+      })
+
+      const messageId = adapter.getMessageId()
+      expect(messageId).toMatch(/^msg_/)
+    })
+  })
+
+  describe('Input Tokens', () => {
+    it('should allow setting input tokens', () => {
+      const events: RawMessageStreamEvent[] = []
+      const adapter = new AiSdkToAnthropicSSE({
+        model: 'test:model',
+        onEvent: (event) => events.push(event)
+      })
+
+      adapter.setInputTokens(500)
+
+      const stream = createMockStream([createFinish()])
+
+      return adapter.processStream(stream).then(() => {
+        const messageStart = events.find((e) => e.type === 'message_start')
+        if (messageStart && messageStart.type === 'message_start') {
+          expect(messageStart.message.usage.input_tokens).toBe(500)
+        }
+      })
+    })
+  })
+})

src/main/apiServer/adapters/index.ts

@@ -0,0 +1,13 @@
+/**
+ * Shared Adapters
+ *
+ * This module exports adapters for converting between different AI API formats.
+ */
+
+export {
+  AiSdkToAnthropicSSE,
+  type AiSdkToAnthropicSSEOptions,
+  formatSSEDone,
+  formatSSEEvent,
+  type SSEEventCallback
+} from './AiSdkToAnthropicSSE'

src/main/apiServer/adapters/openrouter.ts

@@ -0,0 +1,95 @@
+import * as z from 'zod/v4'
+
+enum ReasoningFormat {
+  Unknown = 'unknown',
+  OpenAIResponsesV1 = 'openai-responses-v1',
+  XAIResponsesV1 = 'xai-responses-v1',
+  AnthropicClaudeV1 = 'anthropic-claude-v1',
+  GoogleGeminiV1 = 'google-gemini-v1'
+}
+
+// Anthropic Claude was the first reasoning that we're
+// passing back and forth
+export const DEFAULT_REASONING_FORMAT = ReasoningFormat.AnthropicClaudeV1
+
+function isDefinedOrNotNull<T>(value: T | null | undefined): value is T {
+  return value !== null && value !== undefined
+}
+
+export enum ReasoningDetailType {
+  Summary = 'reasoning.summary',
+  Encrypted = 'reasoning.encrypted',
+  Text = 'reasoning.text'
+}
+
+export const CommonReasoningDetailSchema = z
+  .object({
+    id: z.string().nullish(),
+    format: z.enum(ReasoningFormat).nullish(),
+    index: z.number().optional()
+  })
+  .loose()
+
+export const ReasoningDetailSummarySchema = z
+  .object({
+    type: z.literal(ReasoningDetailType.Summary),
+    summary: z.string()
+  })
+  .extend(CommonReasoningDetailSchema.shape)
+export type ReasoningDetailSummary = z.infer<typeof ReasoningDetailSummarySchema>
+
+export const ReasoningDetailEncryptedSchema = z
+  .object({
+    type: z.literal(ReasoningDetailType.Encrypted),
+    data: z.string()
+  })
+  .extend(CommonReasoningDetailSchema.shape)
+
+export type ReasoningDetailEncrypted = z.infer<typeof ReasoningDetailEncryptedSchema>
+
+export const ReasoningDetailTextSchema = z
+  .object({
+    type: z.literal(ReasoningDetailType.Text),
+    text: z.string().nullish(),
+    signature: z.string().nullish()
+  })
+  .extend(CommonReasoningDetailSchema.shape)
+
+export type ReasoningDetailText = z.infer<typeof ReasoningDetailTextSchema>
+
+export const ReasoningDetailUnionSchema = z.union([
+  ReasoningDetailSummarySchema,
+  ReasoningDetailEncryptedSchema,
+  ReasoningDetailTextSchema
+])
+
+export type ReasoningDetailUnion = z.infer<typeof ReasoningDetailUnionSchema>
+
+const ReasoningDetailsWithUnknownSchema = z.union([ReasoningDetailUnionSchema, z.unknown().transform(() => null)])
+
+export const ReasoningDetailArraySchema = z
+  .array(ReasoningDetailsWithUnknownSchema)
+  .transform((d) => d.filter((d): d is ReasoningDetailUnion => !!d))
+
+export const OutputUnionToReasoningDetailsSchema = z.union([
+  z
+    .object({
+      delta: z.object({
+        reasoning_details: z.array(ReasoningDetailsWithUnknownSchema)
+      })
+    })
+    .transform((data) => data.delta.reasoning_details.filter(isDefinedOrNotNull)),
+  z
+    .object({
+      message: z.object({
+        reasoning_details: z.array(ReasoningDetailsWithUnknownSchema)
+      })
+    })
+    .transform((data) => data.message.reasoning_details.filter(isDefinedOrNotNull)),
+  z
+    .object({
+      text: z.string(),
+      reasoning_details: z.array(ReasoningDetailsWithUnknownSchema)
+    })
+    .transform((data) => data.reasoning_details.filter(isDefinedOrNotNull))
+])

src/main/apiServer/routes/__tests__/messages.test.ts

@@ -0,0 +1,393 @@
+import { describe, expect, it } from 'vitest'
+
+import { estimateTokenCount } from '../messages'
+
+describe('estimateTokenCount', () => {
+  describe('Text Content', () => {
+    it('should estimate tokens for simple string content', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: 'Hello, world!'
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include text tokens + role overhead (3)
+      expect(tokens).toBeGreaterThan(3)
+      expect(tokens).toBeLessThan(20)
+    })
+
+    it('should estimate tokens for multiple messages', () => {
+      const input = {
+        messages: [
+          { role: 'user' as const, content: 'First message' },
+          { role: 'assistant' as const, content: 'Second message' },
+          { role: 'user' as const, content: 'Third message' }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include text tokens + role overhead (3 per message = 9)
+      expect(tokens).toBeGreaterThan(9)
+    })
+
+    it('should estimate tokens for text content blocks', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              { type: 'text' as const, text: 'Hello' },
+              { type: 'text' as const, text: 'World' }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      expect(tokens).toBeGreaterThan(3)
+    })
+
+    it('should handle empty messages array', () => {
+      const input = {
+        messages: []
+      }
+      const tokens = estimateTokenCount(input)
+      expect(tokens).toBe(0)
+    })
+
+    it('should handle messages with empty content', () => {
+      const input = {
+        messages: [{ role: 'user' as const, content: '' }]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should only have role overhead (3)
+      expect(tokens).toBe(3)
+    })
+  })
+
+  describe('System Messages', () => {
+    it('should estimate tokens for string system message', () => {
+      const input = {
+        messages: [{ role: 'user' as const, content: 'Hello' }],
+        system: 'You are a helpful assistant.'
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include system tokens + message tokens + role overhead
+      expect(tokens).toBeGreaterThan(3)
+    })
+
+    it('should estimate tokens for system content blocks', () => {
+      const input = {
+        messages: [{ role: 'user' as const, content: 'Hello' }],
+        system: [
+          { type: 'text' as const, text: 'System instruction 1' },
+          { type: 'text' as const, text: 'System instruction 2' }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      expect(tokens).toBeGreaterThan(3)
+    })
+  })
+
+  describe('Image Content', () => {
+    it('should estimate tokens for base64 images', () => {
+      // Create a fake base64 string (400 characters = ~300 bytes when decoded)
+      const fakeBase64 = 'A'.repeat(400)
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              {
+                type: 'image' as const,
+                source: {
+                  type: 'base64' as const,
+                  media_type: 'image/png' as const,
+                  data: fakeBase64
+                }
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should estimate based on data size: 400 * 0.75 / 100 = 3 tokens + role overhead (3)
+      expect(tokens).toBeGreaterThan(3)
+      expect(tokens).toBeLessThan(10)
+    })
+
+    it('should estimate tokens for URL images', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              {
+                type: 'image' as const,
+                source: {
+                  type: 'url' as const,
+                  url: 'https://example.com/image.png'
+                }
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should use default estimate: 1000 + role overhead (3)
+      expect(tokens).toBe(1003)
+    })
+
+    it('should estimate tokens for mixed text and image content', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              { type: 'text' as const, text: 'What is in this image?' },
+              {
+                type: 'image' as const,
+                source: {
+                  type: 'url' as const,
+                  url: 'https://example.com/image.png'
+                }
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include text tokens + 1000 (image) + role overhead (3)
+      expect(tokens).toBeGreaterThan(1003)
+    })
+  })
+
+  describe('Tool Content', () => {
+    it('should estimate tokens for tool_use blocks', () => {
+      const input = {
+        messages: [
+          {
+            role: 'assistant' as const,
+            content: [
+              {
+                type: 'tool_use' as const,
+                id: 'tool_123',
+                name: 'get_weather',
+                input: { location: 'San Francisco', unit: 'celsius' }
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include: tool name tokens + input JSON tokens + 10 (overhead) + 3 (role)
+      expect(tokens).toBeGreaterThan(13)
+    })
+
+    it('should estimate tokens for tool_result blocks with string content', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              {
+                type: 'tool_result' as const,
+                tool_use_id: 'tool_123',
+                content: 'The weather in San Francisco is 18°C and sunny.'
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include: content tokens + 10 (overhead) + 3 (role)
+      expect(tokens).toBeGreaterThan(13)
+    })
+
+    it('should estimate tokens for tool_result blocks with array content', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              {
+                type: 'tool_result' as const,
+                tool_use_id: 'tool_123',
+                content: [
+                  { type: 'text' as const, text: 'Result 1' },
+                  { type: 'text' as const, text: 'Result 2' }
+                ]
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include: text tokens + 10 (overhead) + 3 (role)
+      expect(tokens).toBeGreaterThan(13)
+    })
+
+    it('should handle tool_use without input', () => {
+      const input = {
+        messages: [
+          {
+            role: 'assistant' as const,
+            content: [
+              {
+                type: 'tool_use' as const,
+                id: 'tool_123',
+                name: 'no_input_tool',
+                input: {}
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include: tool name tokens + 10 (overhead) + 3 (role)
+      expect(tokens).toBeGreaterThan(13)
+    })
+  })
+
+  describe('Complex Scenarios', () => {
+    it('should estimate tokens for multi-turn conversation with various content types', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              { type: 'text' as const, text: 'Analyze this image' },
+              {
+                type: 'image' as const,
+                source: {
+                  type: 'url' as const,
+                  url: 'https://example.com/chart.png'
+                }
+              }
+            ]
+          },
+          {
+            role: 'assistant' as const,
+            content: [
+              {
+                type: 'tool_use' as const,
+                id: 'tool_1',
+                name: 'analyze_image',
+                input: { url: 'https://example.com/chart.png' }
+              }
+            ]
+          },
+          {
+            role: 'user' as const,
+            content: [
+              {
+                type: 'tool_result' as const,
+                tool_use_id: 'tool_1',
+                content: 'The chart shows sales data for Q4 2024.'
+              }
+            ]
+          },
+          {
+            role: 'assistant' as const,
+            content: 'Based on the analysis, the sales trend is positive.'
+          }
+        ],
+        system: 'You are a data analyst assistant.'
+      }
+      const tokens = estimateTokenCount(input)
+      // Should include:
+      // - System message tokens
+      // - Message 1: text + image (1000) + 3
+      // - Message 2: tool_use + 10 + 3
+      // - Message 3: tool_result + 10 + 3
+      // - Message 4: text + 3
+      expect(tokens).toBeGreaterThan(1032) // At least 1000 (image) + 32 (overhead)
+    })
+
+    it('should handle very long text content', () => {
+      const longText = 'word '.repeat(1000) // ~5000 characters
+      const input = {
+        messages: [{ role: 'user' as const, content: longText }]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should estimate based on text length using tokenx
+      expect(tokens).toBeGreaterThan(1000)
+    })
+
+    it('should handle multiple images in single message', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [
+              {
+                type: 'image' as const,
+                source: { type: 'url' as const, url: 'https://example.com/1.png' }
+              },
+              {
+                type: 'image' as const,
+                source: { type: 'url' as const, url: 'https://example.com/2.png' }
+              },
+              {
+                type: 'image' as const,
+                source: { type: 'url' as const, url: 'https://example.com/3.png' }
+              }
+            ]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should estimate: 3 * 1000 (images) + 3 (role)
+      expect(tokens).toBe(3003)
+    })
+  })
+
+  describe('Edge Cases', () => {
+    it('should handle undefined system message', () => {
+      const input = {
+        messages: [{ role: 'user' as const, content: 'Hello' }],
+        system: undefined
+      }
+      const tokens = estimateTokenCount(input)
+      expect(tokens).toBeGreaterThan(0)
+    })
+
+    it('should handle empty system message', () => {
+      const input = {
+        messages: [{ role: 'user' as const, content: 'Hello' }],
+        system: ''
+      }
+      const tokens = estimateTokenCount(input)
+      expect(tokens).toBeGreaterThan(0)
+    })
+
+    it('should handle content blocks with missing text', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: [{ type: 'text' as const, text: undefined as any }]
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should only have role overhead
+      expect(tokens).toBe(3)
+    })
+
+    it('should handle empty content array', () => {
+      const input = {
+        messages: [
+          {
+            role: 'user' as const,
+            content: []
+          }
+        ]
+      }
+      const tokens = estimateTokenCount(input)
+      // Should only have role overhead
+      expect(tokens).toBe(3)
+    })
+  })
+})

src/main/apiServer/routes/messages.ts

@@ -1,17 +1,129 @@
 import type { MessageCreateParams } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
+import { buildSharedMiddlewares, type SharedMiddlewareConfig } from '@shared/ai-sdk-middlewares'
+import { getAiSdkProviderId } from '@shared/provider'
 import type { Provider } from '@types'
 import type { Request, Response } from 'express'
 import express from 'express'
+import { approximateTokenSize } from 'tokenx'
 
 import { messagesService } from '../services/messages'
-import { getProviderById, validateModelId } from '../utils'
+import { generateUnifiedMessage, streamUnifiedMessages } from '../services/unified-messages'
+import { getProviderById, isModelAnthropicCompatible, validateModelId } from '../utils'
+
+/**
+ * Check if a specific model on a provider should use direct Anthropic SDK
+ *
+ * A provider+model combination is considered "Anthropic-compatible" if:
+ * 1. It's a native Anthropic provider (type === 'anthropic'), OR
+ * 2. It has anthropicApiHost configured AND the specific model supports Anthropic API
+ *    (for aggregated providers like Silicon, only certain models support Anthropic endpoint)
+ *
+ * @param provider - The provider to check
+ * @param modelId - The model ID to check (without provider prefix)
+ * @returns true if should use direct Anthropic SDK, false for unified SDK
+ */
+function shouldUseDirectAnthropic(provider: Provider, modelId: string): boolean {
+  // Native Anthropic provider - always use direct SDK
+  if (provider.type === 'anthropic') {
+    return true
+  }
+
+  // No anthropicApiHost configured - use unified SDK
+  if (!provider.anthropicApiHost?.trim()) {
+    return false
+  }
+
+  // Has anthropicApiHost - check model-level compatibility
+  // For aggregated providers, only specific models support Anthropic API
+  return isModelAnthropicCompatible(provider, modelId)
+}
 
 const logger = loggerService.withContext('ApiServerMessagesRoutes')
 
 const router = express.Router()
 const providerRouter = express.Router({ mergeParams: true })
 
+/**
+ * Estimate token count from messages
+ * Uses tokenx library for accurate token estimation and supports images, tools
+ */
+export interface CountTokensInput {
+  messages: MessageCreateParams['messages']
+  system?: MessageCreateParams['system']
+}
+
+export function estimateTokenCount(input: CountTokensInput): number {
+  const { messages, system } = input
+  let totalTokens = 0
+
+  // Count system message tokens using tokenx
+  if (system) {
+    if (typeof system === 'string') {
+      totalTokens += approximateTokenSize(system)
+    } else if (Array.isArray(system)) {
+      for (const block of system) {
+        if (block.type === 'text' && block.text) {
+          totalTokens += approximateTokenSize(block.text)
+        }
+      }
+    }
+  }
+
+  // Count message tokens
+  for (const msg of messages) {
+    if (typeof msg.content === 'string') {
+      totalTokens += approximateTokenSize(msg.content)
+    } else if (Array.isArray(msg.content)) {
+      for (const block of msg.content) {
+        if (block.type === 'text' && block.text) {
+          totalTokens += approximateTokenSize(block.text)
+        } else if (block.type === 'image') {
+          // Image token estimation (consistent with TokenService)
+          if (block.source.type === 'base64') {
+            // Base64 images: estimate from data length
+            const dataSize = block.source.data.length * 0.75 // base64 to bytes
+            totalTokens += Math.floor(dataSize / 100)
+          } else {
+            // URL images: use default estimate
+            totalTokens += 1000
+          }
+        } else if (block.type === 'tool_use') {
+          // Tool use token estimation: name + input JSON
+          if (block.name) {
+            totalTokens += approximateTokenSize(block.name)
+          }
+          if (block.input) {
+            const inputJson = JSON.stringify(block.input)
+            totalTokens += approximateTokenSize(inputJson)
+          }
+          // Add overhead for tool use structure
+          totalTokens += 10
+        } else if (block.type === 'tool_result') {
+          // Tool result token estimation
+          if (typeof block.content === 'string') {
+            totalTokens += approximateTokenSize(block.content)
+          } else if (Array.isArray(block.content)) {
+            for (const item of block.content) {
+              if (typeof item === 'string') {
+                totalTokens += approximateTokenSize(item)
+              } else if (item.type === 'text' && item.text) {
+                totalTokens += approximateTokenSize(item.text)
+              }
+            }
+          }
+          // Add overhead for tool result structure
+          totalTokens += 10
+        }
+      }
+    }
+    // Add role overhead
+    totalTokens += 3
+  }
+
+  return totalTokens
+}
+
 // Helper function for basic request validation
 async function validateRequestBody(req: Request): Promise<{ valid: boolean; error?: any }> {
   const request: MessageCreateParams = req.body
@@ -32,22 +144,101 @@ async function validateRequestBody(req: Request): Promise<{ valid: boolean; erro
   return { valid: true }
 }
 
+/**
+ * Shared handler for count_tokens endpoint
+ * Validates request and returns token count estimation
+ */
+async function handleCountTokens(
+  req: Request,
+  res: Response,
+  options: {
+    requireModel?: boolean
+    logContext?: Record<string, any>
+  } = {}
+): Promise<Response> {
+  try {
+    const { model, messages, system } = req.body
+    const { requireModel = false, logContext = {} } = options
+
+    // Validate model parameter if required
+    if (requireModel && !model) {
+      return res.status(400).json({
+        type: 'error',
+        error: {
+          type: 'invalid_request_error',
+          message: 'model parameter is required'
+        }
+      })
+    }
+
+    // Validate messages parameter
+    if (!messages || !Array.isArray(messages)) {
+      return res.status(400).json({
+        type: 'error',
+        error: {
+          type: 'invalid_request_error',
+          message: 'messages parameter is required'
+        }
+      })
+    }
+
+    // Estimate token count
+    const estimatedTokens = estimateTokenCount({ messages, system })
+
+    // Log with context
+    logger.debug('Token count estimated', {
+      model,
+      messageCount: messages.length,
+      estimatedTokens,
+      ...logContext
+    })
+
+    return res.json({
+      input_tokens: estimatedTokens
+    })
+  } catch (error: any) {
+    logger.error('Token counting error', { error })
+    return res.status(500).json({
+      type: 'error',
+      error: {
+        type: 'api_error',
+        message: error.message || 'Internal server error'
+      }
+    })
+  }
+}
+
 interface HandleMessageProcessingOptions {
-  req: Request
   res: Response
   provider: Provider
   request: MessageCreateParams
   modelId?: string
 }
 
-async function handleMessageProcessing({
+/**
-  req,
+ * Handle message processing using direct Anthropic SDK
+ * Used for providers with anthropicApiHost or native Anthropic providers
+ * This bypasses AI SDK conversion and uses native Anthropic protocol
+ */
+async function handleDirectAnthropicProcessing({
   res,
   provider,
   request,
-  modelId
+  modelId,
-}: HandleMessageProcessingOptions): Promise<void> {
+  extraHeaders
+}: HandleMessageProcessingOptions & { extraHeaders?: Record<string, string | string[]> }): Promise<void> {
+  const actualModelId = modelId || request.model
+
+  logger.info('Processing message via direct Anthropic SDK', {
+    providerId: provider.id,
+    providerType: provider.type,
+    modelId: actualModelId,
+    stream: !!request.stream,
+    anthropicApiHost: provider.anthropicApiHost
+  })
+
   try {
+    // Validate request
     const validation = messagesService.validateRequest(request)
     if (!validation.isValid) {
       res.status(400).json({
@@ -60,28 +251,126 @@ async function handleMessageProcessing({
       return
     }
 
-    const extraHeaders = messagesService.prepareHeaders(req.headers)
+    // Process message using messagesService (native Anthropic SDK)
     const { client, anthropicRequest } = await messagesService.processMessage({
       provider,
       request,
       extraHeaders,
-      modelId
+      modelId: actualModelId
     })
 
     if (request.stream) {
+      // Use native Anthropic streaming
       await messagesService.handleStreaming(client, anthropicRequest, { response: res }, provider)
-      return
+    } else {
-    }
+      // Use native Anthropic non-streaming
-
       const response = await client.messages.create(anthropicRequest)
       res.json(response)
+    }
   } catch (error: any) {
-    logger.error('Message processing error', { error })
+    logger.error('Direct Anthropic processing error', { error })
     const { statusCode, errorResponse } = messagesService.transformError(error)
     res.status(statusCode).json(errorResponse)
   }
 }
 
+/**
+ * Handle message processing using unified AI SDK
+ * Used for non-Anthropic providers that need format conversion
+ * - Uses AI SDK adapters with output converted to Anthropic SSE format
+ */
+async function handleUnifiedProcessing({
+  res,
+  provider,
+  request,
+  modelId
+}: HandleMessageProcessingOptions): Promise<void> {
+  const actualModelId = modelId || request.model
+
+  logger.info('Processing message via unified AI SDK', {
+    providerId: provider.id,
+    providerType: provider.type,
+    modelId: actualModelId,
+    stream: !!request.stream
+  })
+
+  try {
+    // Validate request
+    const validation = messagesService.validateRequest(request)
+    if (!validation.isValid) {
+      res.status(400).json({
+        type: 'error',
+        error: {
+          type: 'invalid_request_error',
+          message: validation.errors.join('; ')
+        }
+      })
+      return
+    }
+
+    const middlewareConfig: SharedMiddlewareConfig = {
+      modelId: actualModelId,
+      providerId: provider.id,
+      aiSdkProviderId: getAiSdkProviderId(provider)
+    }
+    const middlewares = buildSharedMiddlewares(middlewareConfig)
+
+    logger.debug('Built middlewares for unified processing', {
+      middlewareCount: middlewares.length,
+      modelId: actualModelId,
+      providerId: provider.id
+    })
+
+    if (request.stream) {
+      await streamUnifiedMessages({
+        response: res,
+        provider,
+        modelId: actualModelId,
+        params: request,
+        middlewares,
+        onError: (error) => {
+          logger.error('Stream error', error as Error)
+        },
+        onComplete: () => {
+          logger.debug('Stream completed')
+        }
+      })
+    } else {
+      const response = await generateUnifiedMessage({
+        provider,
+        modelId: actualModelId,
+        params: request,
+        middlewares
+      })
+      res.json(response)
+    }
+  } catch (error: any) {
+    const { statusCode, errorResponse } = messagesService.transformError(error)
+    res.status(statusCode).json(errorResponse)
+  }
+}
+
+/**
+ * Handle message processing - routes to appropriate handler based on provider and model
+ *
+ * Routing logic:
+ * - Native Anthropic providers (type === 'anthropic'): Direct Anthropic SDK
+ * - Providers with anthropicApiHost AND model supports Anthropic API: Direct Anthropic SDK
+ * - Other providers/models: Unified AI SDK with Anthropic SSE conversion
+ */
+async function handleMessageProcessing({
+  res,
+  provider,
+  request,
+  modelId
+}: HandleMessageProcessingOptions): Promise<void> {
+  const actualModelId = modelId || request.model
+  if (shouldUseDirectAnthropic(provider, actualModelId)) {
+    return handleDirectAnthropicProcessing({ res, provider, request, modelId })
+  }
+  return handleUnifiedProcessing({ res, provider, request, modelId })
+}
+
 /**
  * @swagger
  * /v1/messages:
@@ -235,7 +524,7 @@ router.post('/', async (req: Request, res: Response) => {
     const provider = modelValidation.provider!
     const modelId = modelValidation.modelId!
 
-    return handleMessageProcessing({ req, res, provider, request, modelId })
+    return handleMessageProcessing({ res, provider, request, modelId })
   } catch (error: any) {
     logger.error('Message processing error', { error })
     const { statusCode, errorResponse } = messagesService.transformError(error)
@@ -393,7 +682,7 @@ providerRouter.post('/', async (req: Request, res: Response) => {
 
     const request: MessageCreateParams = req.body
 
-    return handleMessageProcessing({ req, res, provider, request })
+    return handleMessageProcessing({ res, provider, request })
   } catch (error: any) {
     logger.error('Message processing error', { error })
     const { statusCode, errorResponse } = messagesService.transformError(error)
@@ -401,4 +690,58 @@ providerRouter.post('/', async (req: Request, res: Response) => {
   }
 })
 
+/**
+ * @swagger
+ * /v1/messages/count_tokens:
+ *   post:
+ *     summary: Count tokens for messages
+ *     description: Count tokens for Anthropic Messages API format (required by Claude Code SDK)
+ *     tags: [Messages]
+ *     requestBody:
+ *       required: true
+ *       content:
+ *         application/json:
+ *           schema:
+ *             type: object
+ *             required:
+ *               - model
+ *               - messages
+ *             properties:
+ *               model:
+ *                 type: string
+ *                 description: Model ID
+ *               messages:
+ *                 type: array
+ *                 items:
+ *                   type: object
+ *               system:
+ *                 type: string
+ *                 description: System message
+ *     responses:
+ *       200:
+ *         description: Token count response
+ *         content:
+ *           application/json:
+ *             schema:
+ *               type: object
+ *               properties:
+ *                 input_tokens:
+ *                   type: integer
+ *       400:
+ *         description: Bad request
+ */
+router.post('/count_tokens', async (req: Request, res: Response) => {
+  return handleCountTokens(req, res, { requireModel: true })
+})
+
+/**
+ * Provider-specific count_tokens endpoint
+ */
+providerRouter.post('/count_tokens', async (req: Request, res: Response) => {
+  return handleCountTokens(req, res, {
+    requireModel: false,
+    logContext: { providerId: req.params.provider }
+  })
+})
+
 export { providerRouter as messagesProviderRoutes, router as messagesRoutes }

src/main/apiServer/services/__tests__/jsonSchemaToZod.test.ts

@@ -0,0 +1,340 @@
+import { describe, expect, it } from 'vitest'
+import * as z from 'zod'
+
+import { type JsonSchemaLike, jsonSchemaToZod } from '../unified-messages'
+
+describe('jsonSchemaToZod', () => {
+  describe('Basic Types', () => {
+    it('should convert string type', () => {
+      const schema: JsonSchemaLike = { type: 'string' }
+      const result = jsonSchemaToZod(schema)
+      expect(result).toBeInstanceOf(z.ZodString)
+      expect(result.safeParse('hello').success).toBe(true)
+      expect(result.safeParse(123).success).toBe(false)
+    })
+
+    it('should convert string with minLength', () => {
+      const schema: JsonSchemaLike = { type: 'string', minLength: 3 }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('ab').success).toBe(false)
+      expect(result.safeParse('abc').success).toBe(true)
+    })
+
+    it('should convert string with maxLength', () => {
+      const schema: JsonSchemaLike = { type: 'string', maxLength: 5 }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('hello').success).toBe(true)
+      expect(result.safeParse('hello world').success).toBe(false)
+    })
+
+    it('should convert string with pattern', () => {
+      const schema: JsonSchemaLike = { type: 'string', pattern: '^[0-9]+$' }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('123').success).toBe(true)
+      expect(result.safeParse('abc').success).toBe(false)
+    })
+
+    it('should convert number type', () => {
+      const schema: JsonSchemaLike = { type: 'number' }
+      const result = jsonSchemaToZod(schema)
+      expect(result).toBeInstanceOf(z.ZodNumber)
+      expect(result.safeParse(42).success).toBe(true)
+      expect(result.safeParse(3.14).success).toBe(true)
+      expect(result.safeParse('42').success).toBe(false)
+    })
+
+    it('should convert integer type', () => {
+      const schema: JsonSchemaLike = { type: 'integer' }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse(42).success).toBe(true)
+      expect(result.safeParse(3.14).success).toBe(false)
+    })
+
+    it('should convert number with minimum', () => {
+      const schema: JsonSchemaLike = { type: 'number', minimum: 10 }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse(5).success).toBe(false)
+      expect(result.safeParse(10).success).toBe(true)
+      expect(result.safeParse(15).success).toBe(true)
+    })
+
+    it('should convert number with maximum', () => {
+      const schema: JsonSchemaLike = { type: 'number', maximum: 100 }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse(50).success).toBe(true)
+      expect(result.safeParse(100).success).toBe(true)
+      expect(result.safeParse(150).success).toBe(false)
+    })
+
+    it('should convert boolean type', () => {
+      const schema: JsonSchemaLike = { type: 'boolean' }
+      const result = jsonSchemaToZod(schema)
+      expect(result).toBeInstanceOf(z.ZodBoolean)
+      expect(result.safeParse(true).success).toBe(true)
+      expect(result.safeParse(false).success).toBe(true)
+      expect(result.safeParse('true').success).toBe(false)
+    })
+
+    it('should convert null type', () => {
+      const schema: JsonSchemaLike = { type: 'null' }
+      const result = jsonSchemaToZod(schema)
+      expect(result).toBeInstanceOf(z.ZodNull)
+      expect(result.safeParse(null).success).toBe(true)
+      expect(result.safeParse(undefined).success).toBe(false)
+    })
+  })
+
+  describe('Enum Types', () => {
+    it('should convert string enum', () => {
+      const schema: JsonSchemaLike = { enum: ['red', 'green', 'blue'] }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('red').success).toBe(true)
+      expect(result.safeParse('green').success).toBe(true)
+      expect(result.safeParse('yellow').success).toBe(false)
+    })
+
+    it('should convert non-string enum with literals', () => {
+      const schema: JsonSchemaLike = { enum: [1, 2, 3] }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse(1).success).toBe(true)
+      expect(result.safeParse(2).success).toBe(true)
+      expect(result.safeParse(4).success).toBe(false)
+    })
+
+    it('should convert single value enum', () => {
+      const schema: JsonSchemaLike = { enum: ['only'] }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('only').success).toBe(true)
+      expect(result.safeParse('other').success).toBe(false)
+    })
+
+    it('should convert mixed enum', () => {
+      const schema: JsonSchemaLike = { enum: ['text', 1, true] }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('text').success).toBe(true)
+      expect(result.safeParse(1).success).toBe(true)
+      expect(result.safeParse(true).success).toBe(true)
+      expect(result.safeParse(false).success).toBe(false)
+    })
+  })
+
+  describe('Array Types', () => {
+    it('should convert array of strings', () => {
+      const schema: JsonSchemaLike = {
+        type: 'array',
+        items: { type: 'string' }
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse(['a', 'b']).success).toBe(true)
+      expect(result.safeParse([1, 2]).success).toBe(false)
+    })
+
+    it('should convert array without items (unknown)', () => {
+      const schema: JsonSchemaLike = { type: 'array' }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse([]).success).toBe(true)
+      expect(result.safeParse(['a', 1, true]).success).toBe(true)
+    })
+
+    it('should convert array with minItems', () => {
+      const schema: JsonSchemaLike = {
+        type: 'array',
+        items: { type: 'number' },
+        minItems: 2
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse([1]).success).toBe(false)
+      expect(result.safeParse([1, 2]).success).toBe(true)
+    })
+
+    it('should convert array with maxItems', () => {
+      const schema: JsonSchemaLike = {
+        type: 'array',
+        items: { type: 'number' },
+        maxItems: 3
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse([1, 2, 3]).success).toBe(true)
+      expect(result.safeParse([1, 2, 3, 4]).success).toBe(false)
+    })
+  })
+
+  describe('Object Types', () => {
+    it('should convert simple object', () => {
+      const schema: JsonSchemaLike = {
+        type: 'object',
+        properties: {
+          name: { type: 'string' },
+          age: { type: 'number' }
+        }
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse({ name: 'John', age: 30 }).success).toBe(true)
+      expect(result.safeParse({ name: 'John', age: '30' }).success).toBe(false)
+    })
+
+    it('should handle required fields', () => {
+      const schema: JsonSchemaLike = {
+        type: 'object',
+        properties: {
+          name: { type: 'string' },
+          age: { type: 'number' }
+        },
+        required: ['name']
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse({ name: 'John', age: 30 }).success).toBe(true)
+      expect(result.safeParse({ age: 30 }).success).toBe(false)
+      expect(result.safeParse({ name: 'John' }).success).toBe(true)
+    })
+
+    it('should convert empty object', () => {
+      const schema: JsonSchemaLike = { type: 'object' }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse({}).success).toBe(true)
+    })
+
+    it('should convert nested objects', () => {
+      const schema: JsonSchemaLike = {
+        type: 'object',
+        properties: {
+          user: {
+            type: 'object',
+            properties: {
+              name: { type: 'string' },
+              email: { type: 'string' }
+            }
+          }
+        }
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse({ user: { name: 'John', email: 'john@example.com' } }).success).toBe(true)
+      expect(result.safeParse({ user: { name: 'John' } }).success).toBe(true)
+    })
+  })
+
+  describe('Union Types', () => {
+    it('should convert union type (type array)', () => {
+      const schema: JsonSchemaLike = { type: ['string', 'null'] }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('hello').success).toBe(true)
+      expect(result.safeParse(null).success).toBe(true)
+      expect(result.safeParse(123).success).toBe(false)
+    })
+
+    it('should convert single type array', () => {
+      const schema: JsonSchemaLike = { type: ['string'] }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('hello').success).toBe(true)
+      expect(result.safeParse(123).success).toBe(false)
+    })
+
+    it('should convert multiple union types', () => {
+      const schema: JsonSchemaLike = { type: ['string', 'number', 'boolean'] }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('text').success).toBe(true)
+      expect(result.safeParse(42).success).toBe(true)
+      expect(result.safeParse(true).success).toBe(true)
+      expect(result.safeParse(null).success).toBe(false)
+    })
+  })
+
+  describe('Description Handling', () => {
+    it('should preserve description for string', () => {
+      const schema: JsonSchemaLike = {
+        type: 'string',
+        description: 'A user name'
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.description).toBe('A user name')
+    })
+
+    it('should preserve description for enum', () => {
+      const schema: JsonSchemaLike = {
+        enum: ['red', 'green', 'blue'],
+        description: 'Available colors'
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.description).toBe('Available colors')
+    })
+
+    it('should preserve description for object', () => {
+      const schema: JsonSchemaLike = {
+        type: 'object',
+        description: 'User object',
+        properties: {
+          name: { type: 'string' }
+        }
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.description).toBe('User object')
+    })
+  })
+
+  describe('Edge Cases', () => {
+    it('should handle unknown type', () => {
+      const schema: JsonSchemaLike = { type: 'unknown-type' as any }
+      const result = jsonSchemaToZod(schema)
+      expect(result).toBeInstanceOf(z.ZodType)
+      expect(result.safeParse(anything).success).toBe(true)
+    })
+
+    it('should handle schema without type', () => {
+      const schema: JsonSchemaLike = {}
+      const result = jsonSchemaToZod(schema)
+      expect(result).toBeInstanceOf(z.ZodType)
+      expect(result.safeParse(anything).success).toBe(true)
+    })
+
+    it('should handle complex nested schema', () => {
+      const schema: JsonSchemaLike = {
+        type: 'object',
+        properties: {
+          items: {
+            type: 'array',
+            items: {
+              type: 'object',
+              properties: {
+                id: { type: 'integer' },
+                name: { type: 'string' },
+                tags: {
+                  type: 'array',
+                  items: { type: 'string' }
+                }
+              },
+              required: ['id']
+            }
+          }
+        }
+      }
+      const result = jsonSchemaToZod(schema)
+      const validData = {
+        items: [
+          { id: 1, name: 'Item 1', tags: ['tag1', 'tag2'] },
+          { id: 2, tags: [] }
+        ]
+      }
+      expect(result.safeParse(validData).success).toBe(true)
+
+      const invalidData = {
+        items: [{ name: 'No ID' }]
+      }
+      expect(result.safeParse(invalidData).success).toBe(false)
+    })
+  })
+
+  describe('OpenRouter Model IDs', () => {
+    it('should handle model identifier format with colons', () => {
+      const schema: JsonSchemaLike = {
+        type: 'string',
+        enum: ['openrouter:anthropic/claude-3.5-sonnet:free', 'openrouter:gpt-4:paid']
+      }
+      const result = jsonSchemaToZod(schema)
+      expect(result.safeParse('openrouter:anthropic/claude-3.5-sonnet:free').success).toBe(true)
+      expect(result.safeParse('openrouter:gpt-4:paid').success).toBe(true)
+      expect(result.safeParse('other').success).toBe(false)
+    })
+  })
+})
+
+const anything = Math.random() > 0.5 ? 'string' : Math.random() > 0.5 ? 123 : { a: true }

src/main/apiServer/services/__tests__/unified-messages.test.ts

@@ -0,0 +1,795 @@
+import type { MessageCreateParams } from '@anthropic-ai/sdk/resources/messages'
+import { describe, expect, it } from 'vitest'
+
+import { convertAnthropicToAiMessages, convertAnthropicToolsToAiSdk } from '../unified-messages'
+
+describe('unified-messages', () => {
+  describe('convertAnthropicToolsToAiSdk', () => {
+    it('should return undefined for empty tools array', () => {
+      const result = convertAnthropicToolsToAiSdk([])
+      expect(result).toBeUndefined()
+    })
+
+    it('should return undefined for undefined tools', () => {
+      const result = convertAnthropicToolsToAiSdk(undefined)
+      expect(result).toBeUndefined()
+    })
+
+    it('should convert simple tool with string schema', () => {
+      const anthropicTools: MessageCreateParams['tools'] = [
+        {
+          type: 'custom',
+          name: 'get_weather',
+          description: 'Get current weather',
+          input_schema: {
+            type: 'object',
+            properties: {
+              location: { type: 'string' }
+            },
+            required: ['location']
+          }
+        }
+      ]
+
+      const result = convertAnthropicToolsToAiSdk(anthropicTools)
+      expect(result).toBeDefined()
+      expect(result).toHaveProperty('get_weather')
+      expect(result!.get_weather).toHaveProperty('description', 'Get current weather')
+    })
+
+    it('should convert multiple tools', () => {
+      const anthropicTools: MessageCreateParams['tools'] = [
+        {
+          type: 'custom',
+          name: 'tool1',
+          description: 'First tool',
+          input_schema: {
+            type: 'object',
+            properties: {}
+          }
+        },
+        {
+          type: 'custom',
+          name: 'tool2',
+          description: 'Second tool',
+          input_schema: {
+            type: 'object',
+            properties: {}
+          }
+        }
+      ]
+
+      const result = convertAnthropicToolsToAiSdk(anthropicTools)
+      expect(result).toBeDefined()
+      expect(Object.keys(result!)).toHaveLength(2)
+      expect(result).toHaveProperty('tool1')
+      expect(result).toHaveProperty('tool2')
+    })
+
+    it('should convert tool with complex schema', () => {
+      const anthropicTools: MessageCreateParams['tools'] = [
+        {
+          type: 'custom',
+          name: 'search',
+          description: 'Search for information',
+          input_schema: {
+            type: 'object',
+            properties: {
+              query: { type: 'string', minLength: 1 },
+              limit: { type: 'integer', minimum: 1, maximum: 100 },
+              filters: {
+                type: 'array',
+                items: { type: 'string' }
+              }
+            },
+            required: ['query']
+          }
+        }
+      ]
+
+      const result = convertAnthropicToolsToAiSdk(anthropicTools)
+      expect(result).toBeDefined()
+      expect(result).toHaveProperty('search')
+    })
+
+    it('should skip bash_20250124 tool type', () => {
+      const anthropicTools: MessageCreateParams['tools'] = [
+        {
+          type: 'bash_20250124',
+          name: 'bash'
+        },
+        {
+          type: 'custom',
+          name: 'regular_tool',
+          description: 'A regular tool',
+          input_schema: {
+            type: 'object',
+            properties: {}
+          }
+        }
+      ]
+
+      const result = convertAnthropicToolsToAiSdk(anthropicTools)
+      expect(result).toBeDefined()
+      expect(Object.keys(result!)).toHaveLength(1)
+      expect(result).toHaveProperty('regular_tool')
+      expect(result).not.toHaveProperty('bash')
+    })
+
+    it('should handle tool with no description', () => {
+      const anthropicTools: MessageCreateParams['tools'] = [
+        {
+          type: 'custom',
+          name: 'no_desc_tool',
+          input_schema: {
+            type: 'object',
+            properties: {}
+          }
+        }
+      ]
+
+      const result = convertAnthropicToolsToAiSdk(anthropicTools)
+      expect(result).toBeDefined()
+      expect(result).toHaveProperty('no_desc_tool')
+      expect(result!.no_desc_tool).toHaveProperty('description', '')
+    })
+  })
+
+  describe('convertAnthropicToAiMessages', () => {
+    describe('System Messages', () => {
+      it('should convert string system message', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          system: 'You are a helpful assistant.',
+          messages: [
+            {
+              role: 'user',
+              content: 'Hello'
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(2)
+        expect(result[0]).toEqual({
+          role: 'system',
+          content: 'You are a helpful assistant.'
+        })
+      })
+
+      it('should convert array system message', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          system: [
+            { type: 'text', text: 'Instruction 1' },
+            { type: 'text', text: 'Instruction 2' }
+          ],
+          messages: [
+            {
+              role: 'user',
+              content: 'Hello'
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result[0]).toEqual({
+          role: 'system',
+          content: 'Instruction 1\nInstruction 2'
+        })
+      })
+
+      it('should handle no system message', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: 'Hello'
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result[0].role).toBe('user')
+      })
+    })
+
+    describe('Text Messages', () => {
+      it('should convert simple string message', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: 'Hello, world!'
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(1)
+        expect(result[0]).toEqual({
+          role: 'user',
+          content: 'Hello, world!'
+        })
+      })
+
+      it('should convert text block array', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: [
+                { type: 'text', text: 'First part' },
+                { type: 'text', text: 'Second part' }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(1)
+        expect(result[0].role).toBe('user')
+        expect(Array.isArray(result[0].content)).toBe(true)
+        if (Array.isArray(result[0].content)) {
+          expect(result[0].content).toHaveLength(2)
+          expect(result[0].content[0]).toEqual({ type: 'text', text: 'First part' })
+          expect(result[0].content[1]).toEqual({ type: 'text', text: 'Second part' })
+        }
+      })
+
+      it('should convert assistant message', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: 'Hello'
+            },
+            {
+              role: 'assistant',
+              content: 'Hi there!'
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(2)
+        expect(result[1]).toEqual({
+          role: 'assistant',
+          content: 'Hi there!'
+        })
+      })
+    })
+
+    describe('Image Messages', () => {
+      it('should convert base64 image', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'image',
+                  source: {
+                    type: 'base64',
+                    media_type: 'image/png',
+                    data: 'iVBORw0KGgo='
+                  }
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(1)
+        expect(Array.isArray(result[0].content)).toBe(true)
+        if (Array.isArray(result[0].content)) {
+          expect(result[0].content).toHaveLength(1)
+          const imagePart = result[0].content[0]
+          if (imagePart.type === 'image') {
+            expect(imagePart.image).toBe('data:image/png;base64,iVBORw0KGgo=')
+          }
+        }
+      })
+
+      it('should convert URL image', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'image',
+                  source: {
+                    type: 'url',
+                    url: 'https://example.com/image.png'
+                  }
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        if (Array.isArray(result[0].content)) {
+          const imagePart = result[0].content[0]
+          if (imagePart.type === 'image') {
+            expect(imagePart.image).toBe('https://example.com/image.png')
+          }
+        }
+      })
+
+      it('should convert mixed text and image content', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: [
+                { type: 'text', text: 'Look at this:' },
+                {
+                  type: 'image',
+                  source: {
+                    type: 'url',
+                    url: 'https://example.com/pic.jpg'
+                  }
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        if (Array.isArray(result[0].content)) {
+          expect(result[0].content).toHaveLength(2)
+          expect(result[0].content[0].type).toBe('text')
+          expect(result[0].content[1].type).toBe('image')
+        }
+      })
+    })
+
+    describe('Tool Messages', () => {
+      it('should convert tool_use block', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: 'What is the weather?'
+            },
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'tool_use',
+                  id: 'call_123',
+                  name: 'get_weather',
+                  input: { location: 'San Francisco' }
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(2)
+        const assistantMsg = result[1]
+        expect(assistantMsg.role).toBe('assistant')
+        if (Array.isArray(assistantMsg.content)) {
+          expect(assistantMsg.content).toHaveLength(1)
+          const toolCall = assistantMsg.content[0]
+          if (toolCall.type === 'tool-call') {
+            expect(toolCall.toolName).toBe('get_weather')
+            expect(toolCall.toolCallId).toBe('call_123')
+            expect(toolCall.input).toEqual({ location: 'San Francisco' })
+          }
+        }
+      })
+
+      it('should convert tool_result with string content', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'tool_use',
+                  id: 'call_123',
+                  name: 'get_weather',
+                  input: {}
+                }
+              ]
+            },
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'tool_result',
+                  tool_use_id: 'call_123',
+                  content: 'Temperature is 72°F'
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        const toolMsg = result[1]
+        expect(toolMsg.role).toBe('tool')
+        if (Array.isArray(toolMsg.content)) {
+          expect(toolMsg.content).toHaveLength(1)
+          const toolResult = toolMsg.content[0]
+          if (toolResult.type === 'tool-result') {
+            expect(toolResult.toolCallId).toBe('call_123')
+            expect(toolResult.toolName).toBe('get_weather')
+            if (toolResult.output.type === 'text') {
+              expect(toolResult.output.value).toBe('Temperature is 72°F')
+            }
+          }
+        }
+      })
+
+      it('should convert tool_result with array content', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'tool_use',
+                  id: 'call_456',
+                  name: 'analyze',
+                  input: {}
+                }
+              ]
+            },
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'tool_result',
+                  tool_use_id: 'call_456',
+                  content: [
+                    { type: 'text', text: 'Result part 1' },
+                    { type: 'text', text: 'Result part 2' }
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        const toolMsg = result[1]
+        if (Array.isArray(toolMsg.content)) {
+          const toolResult = toolMsg.content[0]
+          if (toolResult.type === 'tool-result' && toolResult.output.type === 'content') {
+            expect(toolResult.output.value).toHaveLength(2)
+            expect(toolResult.output.value[0]).toEqual({ type: 'text', text: 'Result part 1' })
+            expect(toolResult.output.value[1]).toEqual({ type: 'text', text: 'Result part 2' })
+          }
+        }
+      })
+
+      it('should convert tool_result with image content', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'tool_use',
+                  id: 'call_789',
+                  name: 'screenshot',
+                  input: {}
+                }
+              ]
+            },
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'tool_result',
+                  tool_use_id: 'call_789',
+                  content: [
+                    {
+                      type: 'image',
+                      source: {
+                        type: 'base64',
+                        media_type: 'image/png',
+                        data: 'abc123'
+                      }
+                    }
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        const toolMsg = result[1]
+        if (Array.isArray(toolMsg.content)) {
+          const toolResult = toolMsg.content[0]
+          if (toolResult.type === 'tool-result' && toolResult.output.type === 'content') {
+            expect(toolResult.output.value).toHaveLength(1)
+            const media = toolResult.output.value[0]
+            if (media.type === 'media') {
+              expect(media.data).toBe('abc123')
+              expect(media.mediaType).toBe('image/png')
+            }
+          }
+        }
+      })
+
+      it('should handle multiple tool calls', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'tool_use',
+                  id: 'call_1',
+                  name: 'tool1',
+                  input: {}
+                },
+                {
+                  type: 'tool_use',
+                  id: 'call_2',
+                  name: 'tool2',
+                  input: {}
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        if (Array.isArray(result[0].content)) {
+          expect(result[0].content).toHaveLength(2)
+          expect(result[0].content[0].type).toBe('tool-call')
+          expect(result[0].content[1].type).toBe('tool-call')
+        }
+      })
+    })
+
+    describe('Thinking Content', () => {
+      it('should convert thinking block to reasoning', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'thinking',
+                  thinking: 'Let me analyze this...',
+                  signature: 'sig123'
+                },
+                {
+                  type: 'text',
+                  text: 'Here is my answer'
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        if (Array.isArray(result[0].content)) {
+          expect(result[0].content).toHaveLength(2)
+          const reasoning = result[0].content[0]
+          if (reasoning.type === 'reasoning') {
+            expect(reasoning.text).toBe('Let me analyze this...')
+          }
+          const text = result[0].content[1]
+          if (text.type === 'text') {
+            expect(text.text).toBe('Here is my answer')
+          }
+        }
+      })
+
+      it('should convert redacted_thinking to reasoning', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'redacted_thinking',
+                  data: '[Redacted]'
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        if (Array.isArray(result[0].content)) {
+          expect(result[0].content).toHaveLength(1)
+          const reasoning = result[0].content[0]
+          if (reasoning.type === 'reasoning') {
+            expect(reasoning.text).toBe('[Redacted]')
+          }
+        }
+      })
+    })
+
+    describe('Multi-turn Conversations', () => {
+      it('should handle complete conversation flow', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          system: 'You are a helpful assistant.',
+          messages: [
+            {
+              role: 'user',
+              content: 'What is the weather in SF?'
+            },
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'tool_use',
+                  id: 'weather_call',
+                  name: 'get_weather',
+                  input: { location: 'SF' }
+                }
+              ]
+            },
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'tool_result',
+                  tool_use_id: 'weather_call',
+                  content: '72°F and sunny'
+                }
+              ]
+            },
+            {
+              role: 'assistant',
+              content: 'The weather in San Francisco is 72°F and sunny.'
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(5)
+        expect(result[0].role).toBe('system')
+        expect(result[1].role).toBe('user')
+        expect(result[2].role).toBe('assistant')
+        expect(result[3].role).toBe('tool')
+        expect(result[4].role).toBe('assistant')
+      })
+    })
+
+    describe('Edge Cases', () => {
+      it('should handle empty content array for user', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: []
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(0)
+      })
+
+      it('should handle empty content array for assistant', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: []
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(0)
+      })
+
+      it('should handle tool_result without matching tool_use', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'tool_result',
+                  tool_use_id: 'unknown_call',
+                  content: 'Some result'
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        expect(result).toHaveLength(1)
+        if (Array.isArray(result[0].content)) {
+          const toolResult = result[0].content[0]
+          if (toolResult.type === 'tool-result') {
+            expect(toolResult.toolName).toBe('unknown')
+          }
+        }
+      })
+
+      it('should handle tool_result with empty content', () => {
+        const params: MessageCreateParams = {
+          model: 'claude-3-5-sonnet-20241022',
+          max_tokens: 1024,
+          messages: [
+            {
+              role: 'assistant',
+              content: [
+                {
+                  type: 'tool_use',
+                  id: 'call_empty',
+                  name: 'empty_tool',
+                  input: {}
+                }
+              ]
+            },
+            {
+              role: 'user',
+              content: [
+                {
+                  type: 'tool_result',
+                  tool_use_id: 'call_empty'
+                }
+              ]
+            }
+          ]
+        }
+
+        const result = convertAnthropicToAiMessages(params)
+        const toolMsg = result[1]
+        if (Array.isArray(toolMsg.content)) {
+          const toolResult = toolMsg.content[0]
+          if (toolResult.type === 'tool-result' && toolResult.output.type === 'text') {
+            expect(toolResult.output.value).toBe('')
+          }
+        }
+      })
+    })
+  })
+})

src/main/apiServer/services/messages.ts

@@ -2,8 +2,10 @@ import type Anthropic from '@anthropic-ai/sdk'
 import type { MessageCreateParams, MessageStreamEvent } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
 import anthropicService from '@main/services/AnthropicService'
-import { buildClaudeCodeSystemMessage, getSdkClient } from '@shared/anthropic'
+import { buildClaudeCodeSystemMessage, getSdkClient, sanitizeToolsForAnthropic } from '@shared/anthropic'
 import type { Provider } from '@types'
+import { APICallError, RetryError } from 'ai'
+import { net } from 'electron'
 import type { Response } from 'express'
 
 const logger = loggerService.withContext('MessagesService')
@@ -98,11 +100,30 @@ export class MessagesService {
 
   async getClient(provider: Provider, extraHeaders?: Record<string, string | string[]>): Promise<Anthropic> {
     // Create Anthropic client for the provider
+    // Wrap net.fetch to handle compatibility issues:
+    // 1. net.fetch expects string URLs, not Request objects
+    // 2. net.fetch doesn't support 'agent' option from Node.js http module
+    const electronFetch: typeof globalThis.fetch = async (input: URL | RequestInfo, init?: RequestInit) => {
+      const url = typeof input === 'string' ? input : input instanceof URL ? input.toString() : input.url
+      // Remove unsupported options for Electron's net.fetch
+      if (init) {
+        const initWithAgent = init as RequestInit & { agent?: unknown }
+        delete initWithAgent.agent
+        const headers = new Headers(initWithAgent.headers)
+        if (headers.has('content-length')) {
+          headers.delete('content-length')
+        }
+        initWithAgent.headers = headers
+        return net.fetch(url, initWithAgent)
+      }
+      return net.fetch(url)
+    }
+    const context = { fetch: electronFetch }
     if (provider.authType === 'oauth') {
       const oauthToken = await anthropicService.getValidAccessToken()
-      return getSdkClient(provider, oauthToken, extraHeaders)
+      return getSdkClient(provider, oauthToken, extraHeaders, context)
     }
-    return getSdkClient(provider, null, extraHeaders)
+    return getSdkClient(provider, null, extraHeaders, context)
   }
 
   prepareHeaders(headers: Record<string, string | string[] | undefined>): Record<string, string | string[]> {
@@ -127,7 +148,8 @@ export class MessagesService {
   createAnthropicRequest(request: MessageCreateParams, provider: Provider, modelId?: string): MessageCreateParams {
     const anthropicRequest: MessageCreateParams = {
       ...request,
-      stream: !!request.stream
+      stream: !!request.stream,
+      tools: sanitizeToolsForAnthropic(request.tools)
     }
 
     // Override model if provided
@@ -233,9 +255,71 @@ export class MessagesService {
   }
 
   transformError(error: any): { statusCode: number; errorResponse: ErrorResponse } {
-    let statusCode = 500
+    let statusCode: number | undefined = undefined
-    let errorType = 'api_error'
+    let errorType: string | undefined = undefined
-    let errorMessage = 'Internal server error'
+    let errorMessage: string | undefined = undefined
+
+    const errorMap: Record<number, string> = {
+      400: 'invalid_request_error',
+      401: 'authentication_error',
+      403: 'forbidden_error',
+      404: 'not_found_error',
+      429: 'rate_limit_error',
+      500: 'internal_server_error'
+    }
+
+    // Handle AI SDK RetryError - extract the last error for better error messages
+    if (RetryError.isInstance(error)) {
+      const lastError = error.lastError
+      // If the last error is an APICallError, extract its details
+      if (APICallError.isInstance(lastError)) {
+        statusCode = lastError.statusCode || 502
+        errorMessage = lastError.message
+        return {
+          statusCode,
+          errorResponse: {
+            type: 'error',
+            error: {
+              type: errorMap[statusCode] || 'api_error',
+              message: `${error.reason}: ${errorMessage}`,
+              requestId: lastError.name
+            }
+          }
+        }
+      }
+      // Fallback for other retry errors
+      errorMessage = error.message
+      statusCode = 502
+      return {
+        statusCode,
+        errorResponse: {
+          type: 'error',
+          error: {
+            type: 'api_error',
+            message: errorMessage,
+            requestId: error.name
+          }
+        }
+      }
+    }
+
+    if (APICallError.isInstance(error)) {
+      statusCode = error.statusCode
+      errorMessage = error.message
+      if (statusCode) {
+        return {
+          statusCode,
+          errorResponse: {
+            type: 'error',
+            error: {
+              type: errorMap[statusCode] || 'api_error',
+              message: errorMessage,
+              requestId: error.name
+            }
+          }
+        }
+      }
+    }
 
     const anthropicStatus = typeof error?.status === 'number' ? error.status : undefined
     const anthropicError = error?.error
@@ -277,11 +361,11 @@ export class MessagesService {
       typeof errorMessage === 'string' && errorMessage.length > 0 ? errorMessage : 'Internal server error'
 
     return {
-      statusCode,
+      statusCode: statusCode ?? 500,
       errorResponse: {
         type: 'error',
         error: {
-          type: errorType,
+          type: errorType || 'api_error',
           message: safeErrorMessage,
           requestId: error?.request_id
         }

src/main/apiServer/services/models.ts

@@ -1,13 +1,6 @@
-import { isEmpty } from 'lodash'
-
 import type { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
 import { loggerService } from '../../services/LoggerService'
-import {
+import { getAvailableProviders, listAllAvailableModels, transformModelToOpenAI } from '../utils'
-  getAvailableProviders,
-  getProviderAnthropicModelChecker,
-  listAllAvailableModels,
-  transformModelToOpenAI
-} from '../utils'
 
 const logger = loggerService.withContext('ModelsService')
 
@@ -20,11 +13,12 @@ export class ModelsService {
     try {
       logger.debug('Getting available models from providers', { filter })
 
-      let providers = await getAvailableProviders()
+      const providers = await getAvailableProviders()
 
-      if (filter.providerType === 'anthropic') {
+      // Note: When providerType === 'anthropic', we now return ALL available models
-        providers = providers.filter((p) => p.type === 'anthropic' || !isEmpty(p.anthropicApiHost?.trim()))
+      // because the API Server's unified adapter (AiSdkToAnthropicSSE) can convert
-      }
+      // any provider's response to Anthropic SSE format. This enables Claude Code Agent
+      // to work with OpenAI, Gemini, and other providers transparently.
 
       const models = await listAllAvailableModels(providers)
       // Use Map to deduplicate models by their full ID (provider:model_id)
@@ -32,20 +26,11 @@ export class ModelsService {
 
       for (const model of models) {
         const provider = providers.find((p) => p.id === model.provider)
-        // logger.debug(`Processing model ${model.id}`)
         if (!provider) {
           logger.debug(`Skipping model ${model.id} . Reason: Provider not found.`)
           continue
         }
 
-        if (filter.providerType === 'anthropic') {
-          const checker = getProviderAnthropicModelChecker(provider.id)
-          if (!checker(model)) {
-            logger.debug(`Skipping model ${model.id} from ${model.provider}. Reason: Not an Anthropic model.`)
-            continue
-          }
-        }
-
         const openAIModel = transformModelToOpenAI(model, provider)
         const fullModelId = openAIModel.id // This is already in format "provider:model_id"
 

src/main/apiServer/services/reasoning-cache.ts

@@ -0,0 +1,45 @@
+/**
+ * Reasoning Cache Service
+ *
+ * Manages reasoning-related caching for AI providers that support thinking/reasoning modes.
+ * This includes Google Gemini's thought signatures and OpenRouter's reasoning details.
+ */
+
+import type { ReasoningDetailUnion } from '@main/apiServer/adapters/openrouter'
+import { CacheService } from '@main/services/CacheService'
+
+/**
+ * Interface for reasoning cache
+ */
+export interface IReasoningCache<T> {
+  set(key: string, value: T): void
+  get(key: string): T | undefined
+}
+
+/**
+ * Cache duration: 30 minutes
+ * Reasoning data is typically only needed within a short conversation context
+ */
+const REASONING_CACHE_DURATION = 30 * 60 * 1000
+
+/**
+ * Google Gemini reasoning cache
+ *
+ * Stores thought signatures for Gemini 3 models to handle multi-turn conversations
+ * where the model needs to maintain thinking context across tool calls.
+ */
+export const googleReasoningCache: IReasoningCache<string> = {
+  set: (key, value) => CacheService.set(`google-reasoning:${key}`, value, REASONING_CACHE_DURATION),
+  get: (key) => CacheService.get(`google-reasoning:${key}`) || undefined
+}
+
+/**
+ * OpenRouter reasoning cache
+ *
+ * Stores reasoning details from OpenRouter responses to preserve thinking tokens
+ * and reasoning metadata across the conversation flow.
+ */
+export const openRouterReasoningCache: IReasoningCache<ReasoningDetailUnion[]> = {
+  set: (key, value) => CacheService.set(`openrouter-reasoning:${key}`, value, REASONING_CACHE_DURATION),
+  get: (key) => CacheService.get(`openrouter-reasoning:${key}`) || undefined
+}

src/main/apiServer/services/unified-messages.ts

@@ -0,0 +1,764 @@
+import type { AnthropicProviderOptions } from '@ai-sdk/anthropic'
+import type { GoogleGenerativeAIProviderOptions } from '@ai-sdk/google'
+import type { OpenAIResponsesProviderOptions } from '@ai-sdk/openai'
+import type { JSONSchema7, LanguageModelV2Middleware, LanguageModelV2ToolResultOutput } from '@ai-sdk/provider'
+import type { ProviderOptions, ReasoningPart, ToolCallPart, ToolResultPart } from '@ai-sdk/provider-utils'
+import type {
+  ImageBlockParam,
+  MessageCreateParams,
+  TextBlockParam,
+  Tool as AnthropicTool
+} from '@anthropic-ai/sdk/resources/messages'
+import { type AiPlugin, createExecutor } from '@cherrystudio/ai-core'
+import { createProvider as createProviderCore } from '@cherrystudio/ai-core/provider'
+import { loggerService } from '@logger'
+import { AiSdkToAnthropicSSE, formatSSEDone, formatSSEEvent } from '@main/apiServer/adapters'
+import { generateSignature as cherryaiGenerateSignature } from '@main/integration/cherryai'
+import anthropicService from '@main/services/AnthropicService'
+import copilotService from '@main/services/CopilotService'
+import { reduxService } from '@main/services/ReduxService'
+import type { OpenRouterProviderOptions } from '@openrouter/ai-sdk-provider'
+import { isGemini3ModelId } from '@shared/ai-sdk-middlewares'
+import {
+  type AiSdkConfig,
+  type AiSdkConfigContext,
+  formatProviderApiHost,
+  initializeSharedProviders,
+  isAnthropicProvider,
+  isGeminiProvider,
+  isOpenAIProvider,
+  type MinimalProvider,
+  type ProviderFormatContext,
+  providerToAiSdkConfig as sharedProviderToAiSdkConfig,
+  resolveActualProvider,
+  SystemProviderIds
+} from '@shared/provider'
+import { COPILOT_DEFAULT_HEADERS } from '@shared/provider/constant'
+import { defaultAppHeaders } from '@shared/utils'
+import type { Provider } from '@types'
+import type { ImagePart, JSONValue, ModelMessage, Provider as AiSdkProvider, TextPart, Tool as AiSdkTool } from 'ai'
+import { simulateStreamingMiddleware, stepCountIs, tool, wrapLanguageModel, zodSchema } from 'ai'
+import { net } from 'electron'
+import type { Response } from 'express'
+import * as z from 'zod'
+
+import { googleReasoningCache, openRouterReasoningCache } from './reasoning-cache'
+
+const logger = loggerService.withContext('UnifiedMessagesService')
+
+const MAGIC_STRING = 'skip_thought_signature_validator'
+
+function sanitizeJson(value: unknown): JSONValue {
+  return JSON.parse(JSON.stringify(value))
+}
+
+initializeSharedProviders({
+  warn: (message) => logger.warn(message),
+  error: (message, error) => logger.error(message, error)
+})
+
+/**
+ * Configuration for unified message streaming
+ */
+export interface UnifiedStreamConfig {
+  response: Response
+  provider: Provider
+  modelId: string
+  params: MessageCreateParams
+  onError?: (error: unknown) => void
+  onComplete?: () => void
+  /**
+   * Optional AI SDK middlewares to apply
+   */
+  middlewares?: LanguageModelV2Middleware[]
+  /**
+   * Optional AI Core plugins to use with the executor
+   */
+  plugins?: AiPlugin[]
+}
+
+/**
+ * Configuration for non-streaming message generation
+ */
+export interface GenerateUnifiedMessageConfig {
+  provider: Provider
+  modelId: string
+  params: MessageCreateParams
+  middlewares?: LanguageModelV2Middleware[]
+  plugins?: AiPlugin[]
+}
+
+function getMainProcessFormatContext(): ProviderFormatContext {
+  const vertexSettings = reduxService.selectSync<{ projectId: string; location: string }>('state.llm.settings.vertexai')
+  return {
+    vertex: {
+      project: vertexSettings?.projectId || 'default-project',
+      location: vertexSettings?.location || 'us-central1'
+    }
+  }
+}
+
+function isSupportStreamOptionsProvider(provider: MinimalProvider): boolean {
+  const NOT_SUPPORT_STREAM_OPTIONS_PROVIDERS = ['mistral'] as const
+  return !NOT_SUPPORT_STREAM_OPTIONS_PROVIDERS.some((pid) => pid === provider.id)
+}
+
+const mainProcessSdkContext: AiSdkConfigContext = {
+  isSupportStreamOptionsProvider,
+  getIncludeUsageSetting: () =>
+    reduxService.selectSync<boolean | undefined>('state.settings.openAI?.streamOptions?.includeUsage'),
+  fetch: net.fetch as typeof globalThis.fetch
+}
+
+function getActualProvider(provider: Provider, modelId: string): Provider {
+  const model = provider.models?.find((m) => m.id === modelId)
+  if (!model) return provider
+  return resolveActualProvider(provider, model)
+}
+
+function providerToAiSdkConfig(provider: Provider, modelId: string): AiSdkConfig {
+  const actualProvider = getActualProvider(provider, modelId)
+  const formattedProvider = formatProviderApiHost(actualProvider, getMainProcessFormatContext())
+  return sharedProviderToAiSdkConfig(formattedProvider, modelId, mainProcessSdkContext)
+}
+
+function convertAnthropicToolResultToAiSdk(
+  content: string | Array<TextBlockParam | ImageBlockParam>
+): LanguageModelV2ToolResultOutput {
+  if (typeof content === 'string') {
+    return { type: 'text', value: content }
+  }
+  const values: Array<{ type: 'text'; text: string } | { type: 'media'; data: string; mediaType: string }> = []
+  for (const block of content) {
+    if (block.type === 'text') {
+      values.push({ type: 'text', text: block.text })
+    } else if (block.type === 'image') {
+      values.push({
+        type: 'media',
+        data: block.source.type === 'base64' ? block.source.data : block.source.url,
+        mediaType: block.source.type === 'base64' ? block.source.media_type : 'image/png'
+      })
+    }
+  }
+  return { type: 'content', value: values }
+}
+
+/**
+ * JSON Schema type for tool input schemas
+ */
+export type JsonSchemaLike = JSONSchema7
+
+/**
+ * Convert JSON Schema to Zod schema
+ * This avoids non-standard fields like input_examples that Anthropic doesn't support
+ * TODO: Anthropic/beta support input_examples
+ */
+export function jsonSchemaToZod(schema: JsonSchemaLike): z.ZodTypeAny {
+  const schemaType = schema.type
+  const enumValues = schema.enum
+  const description = schema.description
+
+  // Handle enum first
+  if (enumValues && Array.isArray(enumValues) && enumValues.length > 0) {
+    if (enumValues.every((v) => typeof v === 'string')) {
+      const zodEnum = z.enum(enumValues as [string, ...string[]])
+      return description ? zodEnum.describe(description) : zodEnum
+    }
+    // For non-string enums, use union of literals
+    const literals = enumValues.map((v) => z.literal(v as string | number | boolean))
+    if (literals.length === 1) {
+      return description ? literals[0].describe(description) : literals[0]
+    }
+    const zodUnion = z.union(literals as unknown as [z.ZodTypeAny, z.ZodTypeAny, ...z.ZodTypeAny[]])
+    return description ? zodUnion.describe(description) : zodUnion
+  }
+
+  // Handle union types (type: ["string", "null"])
+  if (Array.isArray(schemaType)) {
+    const schemas = schemaType.map((t) =>
+      jsonSchemaToZod({
+        ...schema,
+        type: t,
+        enum: undefined
+      })
+    )
+    if (schemas.length === 1) {
+      return schemas[0]
+    }
+    return z.union(schemas as [z.ZodTypeAny, z.ZodTypeAny, ...z.ZodTypeAny[]])
+  }
+
+  // Handle by type
+  switch (schemaType) {
+    case 'string': {
+      let zodString = z.string()
+      if (typeof schema.minLength === 'number') zodString = zodString.min(schema.minLength)
+      if (typeof schema.maxLength === 'number') zodString = zodString.max(schema.maxLength)
+      if (typeof schema.pattern === 'string') zodString = zodString.regex(new RegExp(schema.pattern))
+      return description ? zodString.describe(description) : zodString
+    }
+
+    case 'number':
+    case 'integer': {
+      let zodNumber = schemaType === 'integer' ? z.number().int() : z.number()
+      if (typeof schema.minimum === 'number') zodNumber = zodNumber.min(schema.minimum)
+      if (typeof schema.maximum === 'number') zodNumber = zodNumber.max(schema.maximum)
+      return description ? zodNumber.describe(description) : zodNumber
+    }
+
+    case 'boolean': {
+      const zodBoolean = z.boolean()
+      return description ? zodBoolean.describe(description) : zodBoolean
+    }
+
+    case 'null':
+      return z.null()
+
+    case 'array': {
+      const items = schema.items
+      let zodArray: z.ZodArray<z.ZodTypeAny>
+      if (items && typeof items === 'object' && !Array.isArray(items)) {
+        zodArray = z.array(jsonSchemaToZod(items as JsonSchemaLike))
+      } else {
+        zodArray = z.array(z.unknown())
+      }
+      if (typeof schema.minItems === 'number') zodArray = zodArray.min(schema.minItems)
+      if (typeof schema.maxItems === 'number') zodArray = zodArray.max(schema.maxItems)
+      return description ? zodArray.describe(description) : zodArray
+    }
+
+    case 'object': {
+      const properties = schema.properties
+      const required = schema.required || []
+
+      // Always use z.object() to ensure "properties" field is present in output schema
+      // OpenAI requires explicit properties field even for empty objects
+      const shape: Record<string, z.ZodTypeAny> = {}
+      if (properties && typeof properties === 'object') {
+        for (const [key, propSchema] of Object.entries(properties)) {
+          if (typeof propSchema === 'boolean') {
+            shape[key] = propSchema ? z.unknown() : z.never()
+          } else {
+            const zodProp = jsonSchemaToZod(propSchema as JsonSchemaLike)
+            shape[key] = required.includes(key) ? zodProp : zodProp.optional()
+          }
+        }
+      }
+
+      const zodObject = z.object(shape)
+      return description ? zodObject.describe(description) : zodObject
+    }
+
+    default:
+      // Unknown type, use z.unknown()
+      return z.unknown()
+  }
+}
+
+export function convertAnthropicToolsToAiSdk(
+  tools: MessageCreateParams['tools']
+): Record<string, AiSdkTool> | undefined {
+  if (!tools || tools.length === 0) return undefined
+
+  const aiSdkTools: Record<string, AiSdkTool> = {}
+  for (const anthropicTool of tools) {
+    if (anthropicTool.type === 'bash_20250124') continue
+    const toolDef = anthropicTool as AnthropicTool
+    const rawSchema = toolDef.input_schema
+    // Convert Anthropic's InputSchema to JSONSchema7-compatible format
+    const schema = jsonSchemaToZod(rawSchema as JsonSchemaLike)
+
+    // Use tool() with inputSchema (AI SDK v5 API)
+    const aiTool = tool({
+      description: toolDef.description || '',
+      inputSchema: zodSchema(schema)
+    })
+
+    aiSdkTools[toolDef.name] = aiTool
+  }
+  return Object.keys(aiSdkTools).length > 0 ? aiSdkTools : undefined
+}
+
+export function convertAnthropicToAiMessages(params: MessageCreateParams): ModelMessage[] {
+  const messages: ModelMessage[] = []
+
+  // System message
+  if (params.system) {
+    if (typeof params.system === 'string') {
+      messages.push({ role: 'system', content: params.system })
+    } else if (Array.isArray(params.system)) {
+      const systemText = params.system
+        .filter((block) => block.type === 'text')
+        .map((block) => block.text)
+        .join('\n')
+      if (systemText) {
+        messages.push({ role: 'system', content: systemText })
+      }
+    }
+  }
+
+  const toolCallIdToName = new Map<string, string>()
+  for (const msg of params.messages) {
+    if (Array.isArray(msg.content)) {
+      for (const block of msg.content) {
+        if (block.type === 'tool_use') {
+          toolCallIdToName.set(block.id, block.name)
+        }
+      }
+    }
+  }
+
+  // User/assistant messages
+  for (const msg of params.messages) {
+    if (typeof msg.content === 'string') {
+      messages.push({
+        role: msg.role === 'user' ? 'user' : 'assistant',
+        content: msg.content
+      })
+    } else if (Array.isArray(msg.content)) {
+      const textParts: TextPart[] = []
+      const imageParts: ImagePart[] = []
+      const reasoningParts: ReasoningPart[] = []
+      const toolCallParts: ToolCallPart[] = []
+      const toolResultParts: ToolResultPart[] = []
+
+      for (const block of msg.content) {
+        if (block.type === 'text') {
+          textParts.push({ type: 'text', text: block.text })
+        } else if (block.type === 'thinking') {
+          reasoningParts.push({ type: 'reasoning', text: block.thinking })
+        } else if (block.type === 'redacted_thinking') {
+          reasoningParts.push({ type: 'reasoning', text: block.data })
+        } else if (block.type === 'image') {
+          const source = block.source
+          if (source.type === 'base64') {
+            imageParts.push({ type: 'image', image: `data:${source.media_type};base64,${source.data}` })
+          } else if (source.type === 'url') {
+            imageParts.push({ type: 'image', image: source.url })
+          }
+        } else if (block.type === 'tool_use') {
+          const options: ProviderOptions = {}
+          logger.debug('Processing tool call block', { block, msgRole: msg.role, model: params.model })
+          if (isGemini3ModelId(params.model)) {
+            if (googleReasoningCache.get(`google-${block.name}`)) {
+              options.google = {
+                thoughtSignature: MAGIC_STRING
+              }
+            }
+          }
+          if (openRouterReasoningCache.get(`openrouter-${block.id}`)) {
+            options.openrouter = {
+              reasoning_details:
+                (sanitizeJson(openRouterReasoningCache.get(`openrouter-${block.id}`)) as JSONValue[]) || []
+            }
+          }
+          toolCallParts.push({
+            type: 'tool-call',
+            toolName: block.name,
+            toolCallId: block.id,
+            input: block.input,
+            providerOptions: options
+          })
+        } else if (block.type === 'tool_result') {
+          // Look up toolName from the pre-built map (covers cross-message references)
+          const toolName = toolCallIdToName.get(block.tool_use_id) || 'unknown'
+          toolResultParts.push({
+            type: 'tool-result',
+            toolCallId: block.tool_use_id,
+            toolName,
+            output: block.content ? convertAnthropicToolResultToAiSdk(block.content) : { type: 'text', value: '' }
+          })
+        }
+      }
+
+      if (toolResultParts.length > 0) {
+        messages.push({ role: 'tool', content: [...toolResultParts] })
+      }
+
+      if (msg.role === 'user') {
+        const userContent = [...textParts, ...imageParts]
+        if (userContent.length > 0) {
+          messages.push({ role: 'user', content: userContent })
+        }
+      } else {
+        const assistantContent = [...reasoningParts, ...textParts, ...toolCallParts]
+        if (assistantContent.length > 0) {
+          let providerOptions: ProviderOptions | undefined = undefined
+          if (openRouterReasoningCache.get('openrouter')) {
+            providerOptions = {
+              openrouter: {
+                reasoning_details: (sanitizeJson(openRouterReasoningCache.get('openrouter')) as JSONValue[]) || []
+              }
+            }
+          } else if (isGemini3ModelId(params.model)) {
+            providerOptions = {
+              google: {
+                thoughtSignature: MAGIC_STRING
+              }
+            }
+          }
+          messages.push({ role: 'assistant', content: assistantContent, providerOptions })
+        }
+      }
+    }
+  }
+
+  return messages
+}
+
+interface ExecuteStreamConfig {
+  provider: Provider
+  modelId: string
+  params: MessageCreateParams
+  middlewares?: LanguageModelV2Middleware[]
+  plugins?: AiPlugin[]
+  onEvent?: (event: Parameters<typeof formatSSEEvent>[0]) => void
+}
+
+/**
+ * Create AI SDK provider instance from config
+ * Similar to renderer's createAiSdkProvider
+ */
+async function createAiSdkProvider(config: AiSdkConfig): Promise<AiSdkProvider> {
+  let providerId = config.providerId
+
+  // Handle special provider modes (same as renderer)
+  if (providerId === 'openai' && config.options?.mode === 'chat') {
+    providerId = 'openai-chat'
+  } else if (providerId === 'azure' && config.options?.mode === 'responses') {
+    providerId = 'azure-responses'
+  } else if (providerId === 'cherryin' && config.options?.mode === 'chat') {
+    providerId = 'cherryin-chat'
+  }
+
+  const provider = await createProviderCore(providerId, config.options)
+
+  return provider
+}
+
+/**
+ * Prepare special provider configuration for providers that need dynamic tokens
+ * Similar to renderer's prepareSpecialProviderConfig
+ */
+async function prepareSpecialProviderConfig(provider: Provider, config: AiSdkConfig): Promise<AiSdkConfig> {
+  switch (provider.id) {
+    case 'copilot': {
+      const storedHeaders =
+        ((await reduxService.select('state.copilot.defaultHeaders')) as Record<string, string> | null) ?? {}
+      const headers: Record<string, string> = {
+        ...COPILOT_DEFAULT_HEADERS,
+        ...storedHeaders
+      }
+
+      try {
+        const { token } = await copilotService.getToken(null as any, headers)
+        config.options.apiKey = token
+        const existingHeaders = (config.options.headers as Record<string, string> | undefined) ?? {}
+        config.options.headers = {
+          ...headers,
+          ...existingHeaders
+        }
+      } catch (error) {
+        logger.error('Failed to get Copilot token', error as Error)
+        throw new Error('Failed to get Copilot token. Please re-authorize Copilot.')
+      }
+      break
+    }
+    case 'anthropic': {
+      if (provider.authType === 'oauth') {
+        try {
+          const oauthToken = await anthropicService.getValidAccessToken()
+          if (!oauthToken) {
+            throw new Error('Anthropic OAuth token not available. Please re-authorize.')
+          }
+          config.options = {
+            ...config.options,
+            headers: {
+              ...(config.options.headers ? config.options.headers : {}),
+              'Content-Type': 'application/json',
+              'anthropic-version': '2023-06-01',
+              'anthropic-beta': 'oauth-2025-04-20',
+              Authorization: `Bearer ${oauthToken}`
+            },
+            baseURL: 'https://api.anthropic.com/v1',
+            apiKey: ''
+          }
+        } catch (error) {
+          logger.error('Failed to get Anthropic OAuth token', error as Error)
+          throw new Error('Failed to get Anthropic OAuth token. Please re-authorize.')
+        }
+      }
+      break
+    }
+    case 'cherryai': {
+      // Create a signed fetch wrapper for cherryai
+      const baseFetch = net.fetch as typeof globalThis.fetch
+      config.options.fetch = async (url: RequestInfo | URL, options?: RequestInit) => {
+        if (!options?.body) {
+          return baseFetch(url, options)
+        }
+        const signature = cherryaiGenerateSignature({
+          method: 'POST',
+          path: '/chat/completions',
+          query: '',
+          body: JSON.parse(options.body as string)
+        })
+        return baseFetch(url, {
+          ...options,
+          headers: {
+            ...(options.headers as Record<string, string>),
+            ...signature
+          }
+        })
+      }
+      break
+    }
+  }
+  return config
+}
+
+function mapAnthropicThinkToAISdkProviderOptions(
+  provider: Provider,
+  config: MessageCreateParams['thinking']
+): ProviderOptions | undefined {
+  if (!config) return undefined
+  if (isAnthropicProvider(provider)) {
+    return {
+      anthropic: {
+        ...mapToAnthropicProviderOptions(config)
+      }
+    }
+  }
+  if (isGeminiProvider(provider)) {
+    return {
+      google: {
+        ...mapToGeminiProviderOptions(config)
+      }
+    }
+  }
+  if (isOpenAIProvider(provider)) {
+    return {
+      openai: {
+        ...mapToOpenAIProviderOptions(config)
+      }
+    }
+  }
+  if (provider.id === SystemProviderIds.openrouter) {
+    return {
+      openrouter: {
+        ...mapToOpenRouterProviderOptions(config)
+      }
+    }
+  }
+  return undefined
+}
+
+function mapToAnthropicProviderOptions(config: NonNullable<MessageCreateParams['thinking']>): AnthropicProviderOptions {
+  return {
+    thinking: {
+      type: config.type,
+      budgetTokens: config.type === 'enabled' ? config.budget_tokens : undefined
+    }
+  }
+}
+
+function mapToGeminiProviderOptions(
+  config: NonNullable<MessageCreateParams['thinking']>
+): GoogleGenerativeAIProviderOptions {
+  return {
+    thinkingConfig: {
+      thinkingBudget: config.type === 'enabled' ? config.budget_tokens : -1,
+      includeThoughts: config.type === 'enabled'
+    }
+  }
+}
+
+function mapToOpenAIProviderOptions(
+  config: NonNullable<MessageCreateParams['thinking']>
+): OpenAIResponsesProviderOptions {
+  return {
+    reasoningEffort: config.type === 'enabled' ? 'high' : 'none'
+  }
+}
+
+function mapToOpenRouterProviderOptions(
+  config: NonNullable<MessageCreateParams['thinking']>
+): OpenRouterProviderOptions {
+  return {
+    reasoning: {
+      enabled: config.type === 'enabled',
+      effort: 'high'
+    }
+  }
+}
+
+/**
+ * Core stream execution function - single source of truth for AI SDK calls
+ */
+async function executeStream(config: ExecuteStreamConfig): Promise<AiSdkToAnthropicSSE> {
+  const { provider, modelId, params, middlewares = [], plugins = [], onEvent } = config
+
+  // Convert provider config to AI SDK config
+  let sdkConfig = providerToAiSdkConfig(provider, modelId)
+
+  // Prepare special provider config (Copilot, Anthropic OAuth, etc.)
+  sdkConfig = await prepareSpecialProviderConfig(provider, sdkConfig)
+
+  // Create provider instance and get language model
+  const aiSdkProvider = await createAiSdkProvider(sdkConfig)
+  const baseModel = aiSdkProvider.languageModel(modelId)
+
+  // Apply middlewares if present
+  const model =
+    middlewares.length > 0 && typeof baseModel === 'object'
+      ? (wrapLanguageModel({ model: baseModel, middleware: middlewares }) as typeof baseModel)
+      : baseModel
+
+  // Create executor with plugins
+  const executor = createExecutor(sdkConfig.providerId, sdkConfig.options, plugins)
+
+  // Convert messages and tools
+  const coreMessages = convertAnthropicToAiMessages(params)
+  const tools = convertAnthropicToolsToAiSdk(params.tools)
+
+  // Create the adapter
+  const adapter = new AiSdkToAnthropicSSE({
+    model: `${provider.id}:${modelId}`,
+    onEvent: onEvent || (() => {})
+  })
+
+  const result = await executor.streamText({
+    model,
+    messages: coreMessages,
+    // FIXME: Claude Code传入的maxToken会超出有些模型限制，需做特殊处理，可能在v2好修复一点，现在维护的成本有点高
+    // 已知: 豆包
+    maxOutputTokens: params.max_tokens,
+    temperature: params.temperature,
+    topP: params.top_p,
+    topK: params.top_k,
+    stopSequences: params.stop_sequences,
+    stopWhen: stepCountIs(100),
+    headers: defaultAppHeaders(),
+    tools,
+    providerOptions: mapAnthropicThinkToAISdkProviderOptions(provider, params.thinking)
+  })
+
+  // Process the stream through the adapter
+  await adapter.processStream(result.fullStream)
+
+  return adapter
+}
+
+/**
+ * Stream a message request using AI SDK executor and convert to Anthropic SSE format
+ */
+export async function streamUnifiedMessages(config: UnifiedStreamConfig): Promise<void> {
+  const { response, provider, modelId, params, onError, onComplete, middlewares = [], plugins = [] } = config
+
+  logger.info('Starting unified message stream', {
+    providerId: provider.id,
+    providerType: provider.type,
+    modelId,
+    stream: params.stream,
+    middlewareCount: middlewares.length,
+    pluginCount: plugins.length
+  })
+
+  try {
+    response.setHeader('Content-Type', 'text/event-stream')
+    response.setHeader('Cache-Control', 'no-cache')
+    response.setHeader('Connection', 'keep-alive')
+    response.setHeader('X-Accel-Buffering', 'no')
+
+    await executeStream({
+      provider,
+      modelId,
+      params,
+      middlewares,
+      plugins,
+      onEvent: (event) => {
+        logger.silly('Streaming event', { eventType: event.type })
+        const sseData = formatSSEEvent(event)
+        response.write(sseData)
+      }
+    })
+
+    // Send done marker
+    response.write(formatSSEDone())
+    response.end()
+
+    logger.info('Unified message stream completed', { providerId: provider.id, modelId })
+    onComplete?.()
+  } catch (error) {
+    logger.error('Error in unified message stream', error as Error, { providerId: provider.id, modelId })
+    onError?.(error)
+    throw error
+  }
+}
+
+/**
+ * Generate a non-streaming message response
+ *
+ * Uses simulateStreamingMiddleware to reuse the same streaming logic,
+ * similar to renderer's ModernAiProvider pattern.
+ */
+export async function generateUnifiedMessage(
+  providerOrConfig: Provider | GenerateUnifiedMessageConfig,
+  modelId?: string,
+  params?: MessageCreateParams
+): Promise<ReturnType<typeof AiSdkToAnthropicSSE.prototype.buildNonStreamingResponse>> {
+  // Support both old signature and new config-based signature
+  let config: GenerateUnifiedMessageConfig
+  if ('provider' in providerOrConfig && 'modelId' in providerOrConfig && 'params' in providerOrConfig) {
+    config = providerOrConfig
+  } else {
+    config = {
+      provider: providerOrConfig as Provider,
+      modelId: modelId!,
+      params: params!
+    }
+  }
+
+  const { provider, middlewares = [], plugins = [] } = config
+
+  logger.info('Starting unified message generation', {
+    providerId: provider.id,
+    providerType: provider.type,
+    modelId: config.modelId,
+    middlewareCount: middlewares.length,
+    pluginCount: plugins.length
+  })
+
+  try {
+    // Add simulateStreamingMiddleware to reuse streaming logic for non-streaming
+    const allMiddlewares = [simulateStreamingMiddleware(), ...middlewares]
+
+    const adapter = await executeStream({
+      provider,
+      modelId: config.modelId,
+      params: config.params,
+      middlewares: allMiddlewares,
+      plugins
+    })
+
+    const finalResponse = adapter.buildNonStreamingResponse()
+
+    logger.info('Unified message generation completed', {
+      providerId: provider.id,
+      modelId: config.modelId
+    })
+
+    return finalResponse
+  } catch (error) {
+    logger.error('Error in unified message generation', error as Error, {
+      providerId: provider.id,
+      modelId: config.modelId
+    })
+    throw error
+  }
+}
+
+export default {
+  streamUnifiedMessages,
+  generateUnifiedMessage
+}

src/main/apiServer/utils/index.ts

@@ -1,7 +1,7 @@
 import { CacheService } from '@main/services/CacheService'
 import { loggerService } from '@main/services/LoggerService'
 import { reduxService } from '@main/services/ReduxService'
-import { isSiliconAnthropicCompatibleModel } from '@shared/config/providers'
+import { isPpioAnthropicCompatibleModel, isSiliconAnthropicCompatibleModel } from '@shared/config/providers'
 import type { ApiModel, Model, Provider } from '@types'
 
 const logger = loggerService.withContext('ApiServerUtils')
@@ -28,10 +28,9 @@ export async function getAvailableProviders(): Promise<Provider[]> {
       return []
     }
 
-    // Support OpenAI and Anthropic type providers for API server
+    // Support all provider types that AI SDK can handle
-    const supportedProviders = providers.filter(
+    // The unified-messages service uses AI SDK which supports many providers
-      (p: Provider) => p.enabled && (p.type === 'openai' || p.type === 'anthropic')
+    const supportedProviders = providers.filter((p: Provider) => p.enabled)
-    )
 
     // Cache the filtered results
     CacheService.set(PROVIDERS_CACHE_KEY, supportedProviders, PROVIDERS_CACHE_TTL)
@@ -160,7 +159,7 @@ export async function validateModelId(model: string): Promise<{
         valid: false,
         error: {
           type: 'provider_not_found',
-          message: `Provider '${providerId}' not found, not enabled, or not supported. Only OpenAI providers are currently supported.`,
+          message: `Provider '${providerId}' not found or not enabled.`,
           code: 'provider_not_found'
         }
       }
@@ -262,14 +261,8 @@ export function validateProvider(provider: Provider): boolean {
       return false
     }
 
-    // Support OpenAI and Anthropic type providers
+    // AI SDK supports many provider types, no longer need to filter by type
-    if (provider.type !== 'openai' && provider.type !== 'anthropic') {
+    // The unified-messages service handles all supported types
-      logger.debug('Provider type not supported', {
-        providerId: provider.id,
-        providerType: provider.type
-      })
-      return false
-    }
 
     return true
   } catch (error: any) {
@@ -290,8 +283,39 @@ export const getProviderAnthropicModelChecker = (providerId: string): ((m: Model
       return (m: Model) => m.id.includes('claude')
     case 'silicon':
       return (m: Model) => isSiliconAnthropicCompatibleModel(m.id)
+    case 'ppio':
+      return (m: Model) => isPpioAnthropicCompatibleModel(m.id)
     default:
       // allow all models when checker not configured
       return () => true
   }
 }
+
+/**
+ * Check if a specific model is compatible with Anthropic API for a given provider.
+ *
+ * This is used for fine-grained routing decisions at the model level.
+ * For aggregated providers (like Silicon), only certain models support the Anthropic API endpoint.
+ *
+ * @param provider - The provider to check
+ * @param modelId - The model ID to check (without provider prefix)
+ * @returns true if the model supports Anthropic API endpoint
+ */
+export function isModelAnthropicCompatible(provider: Provider, modelId: string): boolean {
+  const checker = getProviderAnthropicModelChecker(provider.id)
+
+  const model = provider.models?.find((m) => m.id === modelId)
+
+  if (model) {
+    return checker(model)
+  }
+
+  const minimalModel: Model = {
+    id: modelId,
+    name: modelId,
+    provider: provider.id,
+    group: ''
+  }
+
+  return checker(minimalModel)
+}

src/main/services/agents/services/claudecode/claude-stream-state.ts

@@ -87,6 +87,7 @@ export class ClaudeStreamState {
   private pendingUsage: PendingUsageState = {}
   private pendingToolCalls = new Map<string, PendingToolCall>()
   private stepActive = false
+  private _streamFinished = false
 
   constructor(options: ClaudeStreamStateOptions) {
     this.logger = loggerService.withContext('ClaudeStreamState')
@@ -289,6 +290,16 @@ export class ClaudeStreamState {
   getNamespacedToolCallId(rawToolCallId: string): string {
     return buildNamespacedToolCallId(this.agentSessionId, rawToolCallId)
   }
+
+  /** Marks the stream as finished (either completed or errored). */
+  markFinished(): void {
+    this._streamFinished = true
+  }
+
+  /** Returns true if the stream has already emitted a terminal event. */
+  isFinished(): boolean {
+    return this._streamFinished
+  }
 }
 
 export type { PendingToolCall }

src/main/services/agents/services/claudecode/index.ts

@@ -87,18 +87,14 @@ class ClaudeCodeService implements AgentServiceInterface {
       })
       return aiStream
     }
-    if (
+    // Validate provider has required configuration
-      (modelInfo.provider?.type !== 'anthropic' &&
+    // Note: We no longer restrict to anthropic type only - the API Server's unified adapter
-        (modelInfo.provider?.anthropicApiHost === undefined || modelInfo.provider.anthropicApiHost.trim() === '')) ||
+    // handles format conversion for any provider type (OpenAI, Gemini, etc.)
-      modelInfo.provider.apiKey === ''
+    if (!modelInfo.provider?.apiKey) {
-    ) {
+      logger.error('Provider API key is missing', { modelInfo })
-      logger.error('Anthropic provider configuration is missing', {
-        modelInfo
-      })
-
       aiStream.emit('data', {
         type: 'error',
-        error: new Error(`Invalid provider type '${modelInfo.provider?.type}'. Expected 'anthropic' provider type.`)
+        error: new Error(`Provider '${modelInfo.provider?.id}' is missing API key configuration.`)
       })
       return aiStream
     }
@@ -112,15 +108,14 @@ class ClaudeCodeService implements AgentServiceInterface {
     // Auto-discover Git Bash path on Windows (already logs internally)
     const customGitBashPath = isWin ? autoDiscoverGitBash() : null
 
+    // Route through local API Server which handles format conversion via unified adapter
+    // This enables Claude Code Agent to work with any provider (OpenAI, Gemini, etc.)
+    // The API Server converts AI SDK responses to Anthropic SSE format transparently
     const env = {
       ...loginShellEnvWithoutProxies,
-      // TODO: fix the proxy api server
+      ANTHROPIC_API_KEY: apiConfig.apiKey,
-      // ANTHROPIC_API_KEY: apiConfig.apiKey,
+      ANTHROPIC_AUTH_TOKEN: apiConfig.apiKey,
-      // ANTHROPIC_AUTH_TOKEN: apiConfig.apiKey,
+      ANTHROPIC_BASE_URL: `http://${apiConfig.host}:${apiConfig.port}/${modelInfo.provider.id}`,
-      // ANTHROPIC_BASE_URL: `http://${apiConfig.host}:${apiConfig.port}/${modelInfo.provider.id}`,
-      ANTHROPIC_API_KEY: modelInfo.provider.apiKey,
-      ANTHROPIC_AUTH_TOKEN: modelInfo.provider.apiKey,
-      ANTHROPIC_BASE_URL: modelInfo.provider.anthropicApiHost?.trim() || modelInfo.provider.apiHost,
       ANTHROPIC_MODEL: modelInfo.modelId,
       ANTHROPIC_DEFAULT_OPUS_MODEL: modelInfo.modelId,
       ANTHROPIC_DEFAULT_SONNET_MODEL: modelInfo.modelId,
@@ -545,6 +540,19 @@ class ClaudeCodeService implements AgentServiceInterface {
         return
       }
 
+      // Skip emitting error if stream already finished (error was handled via result message)
+      if (streamState.isFinished()) {
+        logger.debug('SDK process exited after stream finished, skipping duplicate error event', {
+          duration,
+          error: errorObj instanceof Error ? { name: errorObj.name, message: errorObj.message } : String(errorObj)
+        })
+        // Still emit complete to signal stream end
+        stream.emit('data', {
+          type: 'complete'
+        })
+        return
+      }
+
       errorChunks.push(errorObj instanceof Error ? errorObj.message : String(errorObj))
       const errorMessage = errorChunks.join('\n\n')
       logger.error('SDK query failed', {

src/main/services/agents/services/claudecode/transform.ts

@@ -121,7 +121,7 @@ export function transformSDKMessageToStreamParts(sdkMessage: SDKMessage, state:
     case 'system':
       return handleSystemMessage(sdkMessage)
     case 'result':
-      return handleResultMessage(sdkMessage)
+      return handleResultMessage(sdkMessage, state)
     default:
       logger.warn('Unknown SDKMessage type', { type: (sdkMessage as any).type })
       return []
@@ -193,6 +193,30 @@ function handleAssistantMessage(
         }
         break
       }
+      case 'thinking':
+      case 'redacted_thinking': {
+        const thinkingText = block.type === 'thinking' ? block.thinking : block.data
+        if (thinkingText) {
+          const id = generateMessageId()
+          chunks.push({
+            type: 'reasoning-start',
+            id,
+            providerMetadata
+          })
+          chunks.push({
+            type: 'reasoning-delta',
+            id,
+            text: thinkingText,
+            providerMetadata
+          })
+          chunks.push({
+            type: 'reasoning-end',
+            id,
+            providerMetadata
+          })
+        }
+        break
+      }
       case 'tool_use':
         handleAssistantToolUse(block as ToolUseContent, providerMetadata, state, chunks)
         break
@@ -445,7 +469,11 @@ function handleStreamEvent(
     case 'content_block_stop': {
       const block = state.closeBlock(event.index)
       if (!block) {
-        logger.warn('Received content_block_stop for unknown index', { index: event.index })
+        // Some providers (e.g., Gemini) send content via assistant message before stream events,
+        // so the block may not exist in state. This is expected behavior, not an error.
+        logger.debug('Received content_block_stop for unknown index (may be from non-streaming content)', {
+          index: event.index
+        })
         break
       }
 
@@ -679,7 +707,13 @@ function handleSystemMessage(message: Extract<SDKMessage, { type: 'system' }>):
  * Successful runs yield a `finish` frame with aggregated usage metrics, while
  * failures are surfaced as `error` frames.
  */
-function handleResultMessage(message: Extract<SDKMessage, { type: 'result' }>): AgentStreamPart[] {
+function handleResultMessage(
+  message: Extract<SDKMessage, { type: 'result' }>,
+  state: ClaudeStreamState
+): AgentStreamPart[] {
+  // Mark stream as finished to prevent duplicate error events when SDK process exits
+  state.markFinished()
+
   const chunks: AgentStreamPart[] = []
 
   let usage: LanguageModelUsage | undefined
@@ -691,7 +725,6 @@ function handleResultMessage(message: Extract<SDKMessage, { type: 'result' }>):
     }
   }
 
-  if (message.subtype === 'success') {
   chunks.push({
     type: 'finish',
     totalUsage: usage ?? emptyUsage,
@@ -704,13 +737,21 @@ function handleResultMessage(message: Extract<SDKMessage, { type: 'result' }>):
       raw: message
     }
   } as AgentStreamPart)
-  } else {
+  if (message.subtype !== 'success') {
     chunks.push({
       type: 'error',
       error: {
         message: `${message.subtype}: Process failed after ${message.num_turns} turns`
       }
     } as AgentStreamPart)
+  } else {
+    if (message.is_error) {
+      const errorMatch = message.result.match(/\{.*\}/)
+      if (errorMatch) {
+        const errorDetail = JSON.parse(errorMatch[0])
+        chunks.push(errorDetail)
+      }
+    }
   }
   return chunks
 }

src/renderer/src/aiCore/legacy/clients/gemini/VertexAPIClient.ts

@@ -24,7 +24,7 @@ export class VertexAPIClient extends GeminiAPIClient {
     this.anthropicVertexClient = new AnthropicVertexClient(provider)
     // 如果传入的是普通 Provider，转换为 VertexProvider
     if (isVertexProvider(provider)) {
-      this.vertexProvider = provider
+      this.vertexProvider = provider as VertexProvider
     } else {
       this.vertexProvider = createVertexProvider(provider)
     }

src/renderer/src/aiCore/middleware/AiSdkMiddlewareBuilder.ts

@@ -5,6 +5,7 @@ import type { MCPTool } from '@renderer/types'
 import { type Assistant, type Message, type Model, type Provider, SystemProviderIds } from '@renderer/types'
 import type { Chunk } from '@renderer/types/chunk'
 import { isOllamaProvider, isSupportEnableThinkingProvider } from '@renderer/utils/provider'
+import { openrouterReasoningMiddleware, skipGeminiThoughtSignatureMiddleware } from '@shared/ai-sdk-middlewares'
 import type { LanguageModelMiddleware } from 'ai'
 import { extractReasoningMiddleware, simulateStreamingMiddleware } from 'ai'
 
@@ -12,9 +13,7 @@ import { getAiSdkProviderId } from '../provider/factory'
 import { isOpenRouterGeminiGenerateImageModel } from '../utils/image'
 import { noThinkMiddleware } from './noThinkMiddleware'
 import { openrouterGenerateImageMiddleware } from './openrouterGenerateImageMiddleware'
-import { openrouterReasoningMiddleware } from './openrouterReasoningMiddleware'
 import { qwenThinkingMiddleware } from './qwenThinkingMiddleware'
-import { skipGeminiThoughtSignatureMiddleware } from './skipGeminiThoughtSignatureMiddleware'
 
 const logger = loggerService.withContext('AiSdkMiddlewareBuilder')
 

src/renderer/src/aiCore/middleware/openrouterReasoningMiddleware.ts

@@ -1,50 +0,0 @@
-import type { LanguageModelV2StreamPart } from '@ai-sdk/provider'
-import type { LanguageModelMiddleware } from 'ai'
-
-/**
- * https://openrouter.ai/docs/docs/best-practices/reasoning-tokens#example-preserving-reasoning-blocks-with-openrouter-and-claude
- *
- * @returns LanguageModelMiddleware - a middleware filter redacted block
- */
-export function openrouterReasoningMiddleware(): LanguageModelMiddleware {
-  const REDACTED_BLOCK = '[REDACTED]'
-  return {
-    middlewareVersion: 'v2',
-    wrapGenerate: async ({ doGenerate }) => {
-      const { content, ...rest } = await doGenerate()
-      const modifiedContent = content.map((part) => {
-        if (part.type === 'reasoning' && part.text.includes(REDACTED_BLOCK)) {
-          return {
-            ...part,
-            text: part.text.replace(REDACTED_BLOCK, '')
-          }
-        }
-        return part
-      })
-      return { content: modifiedContent, ...rest }
-    },
-    wrapStream: async ({ doStream }) => {
-      const { stream, ...rest } = await doStream()
-      return {
-        stream: stream.pipeThrough(
-          new TransformStream<LanguageModelV2StreamPart, LanguageModelV2StreamPart>({
-            transform(
-              chunk: LanguageModelV2StreamPart,
-              controller: TransformStreamDefaultController<LanguageModelV2StreamPart>
-            ) {
-              if (chunk.type === 'reasoning-delta' && chunk.delta.includes(REDACTED_BLOCK)) {
-                controller.enqueue({
-                  ...chunk,
-                  delta: chunk.delta.replace(REDACTED_BLOCK, '')
-                })
-              } else {
-                controller.enqueue(chunk)
-              }
-            }
-          })
-        ),
-        ...rest
-      }
-    }
-  }
-}

src/renderer/src/aiCore/middleware/skipGeminiThoughtSignatureMiddleware.ts

@@ -1,36 +0,0 @@
-import type { LanguageModelMiddleware } from 'ai'
-
-/**
- * skip Gemini Thought Signature Middleware
- * 由于多模型客户端请求的复杂性（可以中途切换其他模型），这里选择通过中间件方式添加跳过所有 Gemini3 思考签名
- * Due to the complexity of multi-model client requests (which can switch to other models mid-process),
- * it was decided to add a skip for all Gemini3 thinking signatures via middleware.
- * @param aiSdkId AI SDK Provider ID
- * @returns LanguageModelMiddleware
- */
-export function skipGeminiThoughtSignatureMiddleware(aiSdkId: string): LanguageModelMiddleware {
-  const MAGIC_STRING = 'skip_thought_signature_validator'
-  return {
-    middlewareVersion: 'v2',
-
-    transformParams: async ({ params }) => {
-      const transformedParams = { ...params }
-      // Process messages in prompt
-      if (transformedParams.prompt && Array.isArray(transformedParams.prompt)) {
-        transformedParams.prompt = transformedParams.prompt.map((message) => {
-          if (typeof message.content !== 'string') {
-            for (const part of message.content) {
-              const googleOptions = part?.providerOptions?.[aiSdkId]
-              if (googleOptions?.thoughtSignature) {
-                googleOptions.thoughtSignature = MAGIC_STRING
-              }
-            }
-          }
-          return message
-        })
-      }
-
-      return transformedParams
-    }
-  }
-}

src/renderer/src/aiCore/provider/__tests__/providerConfig.test.ts

@@ -37,7 +37,7 @@ vi.mock('@renderer/utils/api', () => ({
     if (isSupportedAPIVersion === false) {
       return host // Return host as-is when isSupportedAPIVersion is false
     }
-    return `${host}/v1` // Default behavior when isSupportedAPIVersion is true
+    return host ? `${host}/v1` : '' // Default behavior when isSupportedAPIVersion is true
   }),
   routeToEndpoint: vi.fn((host) => ({
     baseURL: host,
@@ -46,6 +46,20 @@ vi.mock('@renderer/utils/api', () => ({
   isWithTrailingSharp: vi.fn((host) => host?.endsWith('#') || false)
 }))
 
+// Also mock @shared/utils/url since formatProviderApiHost uses it directly
+vi.mock('@shared/utils/url', async (importOriginal) => {
+  const actual = (await importOriginal()) as any
+  return {
+    ...actual,
+    formatApiHost: vi.fn((host, isSupportedAPIVersion = true) => {
+      if (isSupportedAPIVersion === false) {
+        return host || '' // Return host as-is when isSupportedAPIVersion is false
+      }
+      return host ? `${host}/v1` : '' // Default behavior when isSupportedAPIVersion is true
+    })
+  }
+})
+
 vi.mock('@renderer/utils/provider', async (importOriginal) => {
   const actual = (await importOriginal()) as any
   return {
@@ -78,8 +92,8 @@ vi.mock('@renderer/services/AssistantService', () => ({
 
 import { getProviderByModel } from '@renderer/services/AssistantService'
 import type { Model, Provider } from '@renderer/types'
-import { formatApiHost } from '@renderer/utils/api'
 import { isAzureOpenAIProvider, isCherryAIProvider, isPerplexityProvider } from '@renderer/utils/provider'
+import { formatApiHost } from '@shared/utils/url'
 
 import { COPILOT_DEFAULT_HEADERS, COPILOT_EDITOR_VERSION, isCopilotResponsesModel } from '../constants'
 import { getActualProvider, providerToAiSdkConfig } from '../providerConfig'
@@ -96,6 +110,31 @@ const createWindowKeyv = () => {
   }
 }
 
+/**
+ * 创建默认的 mock state，包含所有必需的字段
+ */
+const createDefaultMockState = (overrides?: {
+  includeUsage?: boolean | undefined
+  copilotHeaders?: Record<string, string>
+}) => ({
+  copilot: { defaultHeaders: overrides?.copilotHeaders ?? {} },
+  settings: {
+    openAI: {
+      streamOptions: {
+        includeUsage: overrides?.includeUsage
+      }
+    }
+  },
+  llm: {
+    settings: {
+      vertexai: {
+        projectId: '',
+        location: ''
+      }
+    }
+  }
+})
+
 const createCopilotProvider = (): Provider => ({
   id: 'copilot',
   type: 'openai',
@@ -150,16 +189,7 @@ describe('Copilot responses routing', () => {
       ...(globalThis as any).window,
       keyv: createWindowKeyv()
     }
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState())
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: undefined
-          }
-        }
-      }
-    })
   })
 
   it('detects official GPT-5 Codex identifiers case-insensitively', () => {
@@ -195,16 +225,7 @@ describe('CherryAI provider configuration', () => {
       ...(globalThis as any).window,
       keyv: createWindowKeyv()
     }
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState())
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: undefined
-          }
-        }
-      }
-    })
     vi.clearAllMocks()
   })
 
@@ -276,16 +297,7 @@ describe('Perplexity provider configuration', () => {
       ...(globalThis as any).window,
       keyv: createWindowKeyv()
     }
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState())
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: undefined
-          }
-        }
-      }
-    })
     vi.clearAllMocks()
   })
 
@@ -360,6 +372,7 @@ describe('Stream options includeUsage configuration', () => {
       ...(globalThis as any).window,
       keyv: createWindowKeyv()
     }
+    mockGetState.mockReturnValue(createDefaultMockState())
     vi.clearAllMocks()
   })
 
@@ -374,16 +387,7 @@ describe('Stream options includeUsage configuration', () => {
   })
 
   it('uses includeUsage from settings when undefined', () => {
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState({ includeUsage: undefined }))
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: undefined
-          }
-        }
-      }
-    })
 
     const provider = createOpenAIProvider()
     const config = providerToAiSdkConfig(provider, createModel('gpt-4', 'GPT-4', 'openai'))
@@ -392,16 +396,7 @@ describe('Stream options includeUsage configuration', () => {
   })
 
   it('uses includeUsage from settings when set to true', () => {
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState({ includeUsage: true }))
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: true
-          }
-        }
-      }
-    })
 
     const provider = createOpenAIProvider()
     const config = providerToAiSdkConfig(provider, createModel('gpt-4', 'GPT-4', 'openai'))
@@ -410,16 +405,7 @@ describe('Stream options includeUsage configuration', () => {
   })
 
   it('uses includeUsage from settings when set to false', () => {
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState({ includeUsage: false }))
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: false
-          }
-        }
-      }
-    })
 
     const provider = createOpenAIProvider()
     const config = providerToAiSdkConfig(provider, createModel('gpt-4', 'GPT-4', 'openai'))
@@ -428,16 +414,7 @@ describe('Stream options includeUsage configuration', () => {
   })
 
   it('respects includeUsage setting for non-supporting providers', () => {
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState({ includeUsage: true }))
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: true
-          }
-        }
-      }
-    })
 
     const testProvider: Provider = {
       id: 'test',
@@ -459,16 +436,7 @@ describe('Stream options includeUsage configuration', () => {
   })
 
   it('uses includeUsage from settings for Copilot provider when set to false', () => {
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState({ includeUsage: false }))
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: false
-          }
-        }
-      }
-    })
 
     const provider = createCopilotProvider()
     const config = providerToAiSdkConfig(provider, createModel('gpt-4', 'GPT-4', 'copilot'))
@@ -478,16 +446,7 @@ describe('Stream options includeUsage configuration', () => {
   })
 
   it('uses includeUsage from settings for Copilot provider when set to true', () => {
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState({ includeUsage: true }))
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: true
-          }
-        }
-      }
-    })
 
     const provider = createCopilotProvider()
     const config = providerToAiSdkConfig(provider, createModel('gpt-4', 'GPT-4', 'copilot'))
@@ -497,16 +456,7 @@ describe('Stream options includeUsage configuration', () => {
   })
 
   it('uses includeUsage from settings for Copilot provider when undefined', () => {
-    mockGetState.mockReturnValue({
+    mockGetState.mockReturnValue(createDefaultMockState({ includeUsage: undefined }))
-      copilot: { defaultHeaders: {} },
-      settings: {
-        openAI: {
-          streamOptions: {
-            includeUsage: undefined
-          }
-        }
-      }
-    })
 
     const provider = createCopilotProvider()
     const config = providerToAiSdkConfig(provider, createModel('gpt-4', 'GPT-4', 'copilot'))

src/renderer/src/aiCore/provider/config/azure-anthropic.ts

@@ -1,22 +0,0 @@
-import type { Provider } from '@renderer/types'
-
-import { provider2Provider, startsWith } from './helper'
-import type { RuleSet } from './types'
-
-// https://platform.claude.com/docs/en/build-with-claude/claude-in-microsoft-foundry
-const AZURE_ANTHROPIC_RULES: RuleSet = {
-  rules: [
-    {
-      match: startsWith('claude'),
-      provider: (provider: Provider) => ({
-        ...provider,
-        type: 'anthropic',
-        apiHost: provider.apiHost + 'anthropic/v1',
-        id: 'azure-anthropic'
-      })
-    }
-  ],
-  fallbackRule: (provider: Provider) => provider
-}
-
-export const azureAnthropicProviderCreator = provider2Provider.bind(null, AZURE_ANTHROPIC_RULES)

src/renderer/src/aiCore/provider/config/helper.ts

@@ -1,22 +0,0 @@
-import type { Model, Provider } from '@renderer/types'
-
-import type { RuleSet } from './types'
-
-export const startsWith = (prefix: string) => (model: Model) => model.id.toLowerCase().startsWith(prefix.toLowerCase())
-export const endpointIs = (type: string) => (model: Model) => model.endpoint_type === type
-
-/**
- * 解析模型对应的Provider
- * @param ruleSet 规则集对象
- * @param model 模型对象
- * @param provider 原始provider对象
- * @returns 解析出的provider对象
- */
-export function provider2Provider(ruleSet: RuleSet, model: Model, provider: Provider): Provider {
-  for (const rule of ruleSet.rules) {
-    if (rule.match(model)) {
-      return rule.provider(provider)
-    }
-  }
-  return ruleSet.fallbackRule(provider)
-}

src/renderer/src/aiCore/provider/config/index.ts

@@ -1,3 +1,7 @@
-export { aihubmixProviderCreator } from './aihubmix'
+// Re-export from shared config
-export { newApiResolverCreator } from './newApi'
+export {
-export { vertexAnthropicProviderCreator } from './vertext-anthropic'
+  aihubmixProviderCreator,
+  azureAnthropicProviderCreator,
+  newApiResolverCreator,
+  vertexAnthropicProviderCreator
+} from '@shared/provider/config'

src/renderer/src/aiCore/provider/config/types.ts

@@ -1,9 +0,0 @@
-import type { Model, Provider } from '@renderer/types'
-
-export interface RuleSet {
-  rules: Array<{
-    match: (model: Model) => boolean
-    provider: (provider: Provider) => Provider
-  }>
-  fallbackRule: (provider: Provider) => Provider
-}

src/renderer/src/aiCore/provider/config/vertext-anthropic.ts

@@ -1,19 +0,0 @@
-import type { Provider } from '@renderer/types'
-
-import { provider2Provider, startsWith } from './helper'
-import type { RuleSet } from './types'
-
-const VERTEX_ANTHROPIC_RULES: RuleSet = {
-  rules: [
-    {
-      match: startsWith('claude'),
-      provider: (provider: Provider) => ({
-        ...provider,
-        id: 'google-vertex-anthropic'
-      })
-    }
-  ],
-  fallbackRule: (provider: Provider) => provider
-}
-
-export const vertexAnthropicProviderCreator = provider2Provider.bind(null, VERTEX_ANTHROPIC_RULES)

src/renderer/src/aiCore/provider/constants.ts

@@ -1,25 +1 @@
-import type { Model } from '@renderer/types'
+export { COPILOT_DEFAULT_HEADERS, COPILOT_EDITOR_VERSION, isCopilotResponsesModel } from '@shared/provider/constant'
-
-export const COPILOT_EDITOR_VERSION = 'vscode/1.104.1'
-export const COPILOT_PLUGIN_VERSION = 'copilot-chat/0.26.7'
-export const COPILOT_INTEGRATION_ID = 'vscode-chat'
-export const COPILOT_USER_AGENT = 'GitHubCopilotChat/0.26.7'
-
-export const COPILOT_DEFAULT_HEADERS = {
-  'Copilot-Integration-Id': COPILOT_INTEGRATION_ID,
-  'User-Agent': COPILOT_USER_AGENT,
-  'Editor-Version': COPILOT_EDITOR_VERSION,
-  'Editor-Plugin-Version': COPILOT_PLUGIN_VERSION,
-  'editor-version': COPILOT_EDITOR_VERSION,
-  'editor-plugin-version': COPILOT_PLUGIN_VERSION,
-  'copilot-vision-request': 'true'
-} as const
-
-// Models that require the OpenAI Responses endpoint when routed through GitHub Copilot (#10560)
-const COPILOT_RESPONSES_MODEL_IDS = ['gpt-5-codex']
-
-export function isCopilotResponsesModel(model: Model): boolean {
-  const normalizedId = model.id?.trim().toLowerCase()
-  const normalizedName = model.name?.trim().toLowerCase()
-  return COPILOT_RESPONSES_MODEL_IDS.some((target) => normalizedId === target || normalizedName === target)
-}

src/renderer/src/aiCore/provider/factory.ts

@@ -1,8 +1,7 @@
-import { hasProviderConfigByAlias, type ProviderId, resolveProviderConfigId } from '@cherrystudio/ai-core/provider'
 import { createProvider as createProviderCore } from '@cherrystudio/ai-core/provider'
 import { loggerService } from '@logger'
 import type { Provider } from '@renderer/types'
-import { isAzureOpenAIProvider, isAzureResponsesEndpoint } from '@renderer/utils/provider'
+import { getAiSdkProviderId as sharedGetAiSdkProviderId } from '@shared/provider'
 import type { Provider as AiSdkProvider } from 'ai'
 
 import type { AiSdkConfig } from '../types'
@@ -22,69 +21,12 @@ const logger = loggerService.withContext('ProviderFactory')
   }
 })()
 
-/**
- * 静态Provider映射表
- * 处理Cherry Studio特有的provider ID到AI SDK标准ID的映射
- */
-const STATIC_PROVIDER_MAPPING: Record<string, ProviderId> = {
-  gemini: 'google', // Google Gemini -> google
-  'azure-openai': 'azure', // Azure OpenAI -> azure
-  'openai-response': 'openai', // OpenAI Responses -> openai
-  grok: 'xai', // Grok -> xai
-  copilot: 'github-copilot-openai-compatible'
-}
-
-/**
- * 尝试解析provider标识符（支持静态映射和别名）
- */
-function tryResolveProviderId(identifier: string): ProviderId | null {
-  // 1. 检查静态映射
-  const staticMapping = STATIC_PROVIDER_MAPPING[identifier]
-  if (staticMapping) {
-    return staticMapping
-  }
-
-  // 2. 检查AiCore是否支持（包括别名支持）
-  if (hasProviderConfigByAlias(identifier)) {
-    // 解析为真实的Provider ID
-    return resolveProviderConfigId(identifier) as ProviderId
-  }
-
-  return null
-}
-
 /**
  * 获取AI SDK Provider ID
- * 简化版：减少重复逻辑，利用通用解析函数
+ * Uses shared implementation with renderer-specific config checker
- * TODO: 整理函数逻辑
  */
 export function getAiSdkProviderId(provider: Provider): string {
-  // 1. 尝试解析provider.id
+  return sharedGetAiSdkProviderId(provider)
-  const resolvedFromId = tryResolveProviderId(provider.id)
-  if (isAzureOpenAIProvider(provider)) {
-    if (isAzureResponsesEndpoint(provider)) {
-      return 'azure-responses'
-    } else {
-      return 'azure'
-    }
-  }
-  if (resolvedFromId) {
-    return resolvedFromId
-  }
-
-  // 2. 尝试解析provider.type
-  // 会把所有类型为openai的自定义provider解析到aisdk的openaiProvider上
-  if (provider.type !== 'openai') {
-    const resolvedFromType = tryResolveProviderId(provider.type)
-    if (resolvedFromType) {
-      return resolvedFromType
-    }
-  }
-  if (provider.apiHost.includes('api.openai.com')) {
-    return 'openai-chat'
-  }
-  // 3. 最后的fallback（使用provider本身的id）
-  return provider.id
 }
 
 export async function createAiSdkProvider(config: AiSdkConfig): Promise<AiSdkProvider | null> {

src/renderer/src/aiCore/provider/providerConfig.ts

@@ -1,4 +1,4 @@
-import { formatPrivateKey, hasProviderConfig, ProviderConfigFactory } from '@cherrystudio/ai-core/provider'
+import { hasProviderConfig } from '@cherrystudio/ai-core/provider'
 import { isOpenAIChatCompletionOnlyModel } from '@renderer/config/models'
 import {
   getAwsBedrockAccessKeyId,
@@ -9,58 +9,65 @@ import {
 } from '@renderer/hooks/useAwsBedrock'
 import { createVertexProvider, isVertexAIConfigured } from '@renderer/hooks/useVertexAI'
 import { getProviderByModel } from '@renderer/services/AssistantService'
-import { getProviderById } from '@renderer/services/ProviderService'
 import store from '@renderer/store'
-import { isSystemProvider, type Model, type Provider, SystemProviderIds } from '@renderer/types'
+import { isSystemProvider, type Model, type Provider } from '@renderer/types'
-import type { OpenAICompletionsStreamOptions } from '@renderer/types/aiCoreTypes'
+import { isSupportStreamOptionsProvider } from '@renderer/utils/provider'
 import {
-  formatApiHost,
+  type AiSdkConfigContext,
-  formatAzureOpenAIApiHost,
+  formatProviderApiHost as sharedFormatProviderApiHost,
-  formatOllamaApiHost,
+  type ProviderFormatContext,
-  formatVertexApiHost,
+  providerToAiSdkConfig as sharedProviderToAiSdkConfig,
-  isWithTrailingSharp,
+  resolveActualProvider
-  routeToEndpoint
+} from '@shared/provider'
-} from '@renderer/utils/api'
+import { cloneDeep } from 'lodash'
-import {
-  isAnthropicProvider,
-  isAzureOpenAIProvider,
-  isCherryAIProvider,
-  isGeminiProvider,
-  isNewApiProvider,
-  isOllamaProvider,
-  isPerplexityProvider,
-  isSupportStreamOptionsProvider,
-  isVertexProvider
-} from '@renderer/utils/provider'
-import { defaultAppHeaders } from '@shared/utils'
-import { cloneDeep, isEmpty } from 'lodash'
 
 import type { AiSdkConfig } from '../types'
-import { aihubmixProviderCreator, newApiResolverCreator, vertexAnthropicProviderCreator } from './config'
-import { azureAnthropicProviderCreator } from './config/azure-anthropic'
 import { COPILOT_DEFAULT_HEADERS } from './constants'
 import { getAiSdkProviderId } from './factory'
 
 /**
- * 处理特殊provider的转换逻辑
+ * Renderer-specific context for providerToAiSdkConfig
+ * Provides implementations using browser APIs, store, and hooks
  */
-function handleSpecialProviders(model: Model, provider: Provider): Provider {
+function createRendererSdkContext(model: Model): AiSdkConfigContext {
-  if (isNewApiProvider(provider)) {
+  return {
-    return newApiResolverCreator(model, provider)
+    isOpenAIChatCompletionOnlyModel: () => isOpenAIChatCompletionOnlyModel(model),
+    isSupportStreamOptionsProvider: (provider) => isSupportStreamOptionsProvider(provider as Provider),
+    getIncludeUsageSetting: () => store.getState().settings.openAI?.streamOptions?.includeUsage,
+    getCopilotDefaultHeaders: () => COPILOT_DEFAULT_HEADERS,
+    getCopilotStoredHeaders: () => store.getState().copilot.defaultHeaders ?? {},
+    getAwsBedrockConfig: () => {
+      const authType = getAwsBedrockAuthType()
+      return {
+        authType,
+        region: getAwsBedrockRegion(),
+        apiKey: authType === 'apiKey' ? getAwsBedrockApiKey() : undefined,
+        accessKeyId: authType === 'iam' ? getAwsBedrockAccessKeyId() : undefined,
+        secretAccessKey: authType === 'iam' ? getAwsBedrockSecretAccessKey() : undefined
+      }
+    },
+    getVertexConfig: (provider) => {
+      if (!isVertexAIConfigured()) {
+        return undefined
+      }
+      return createVertexProvider(provider as Provider)
+    },
+    getEndpointType: () => model.endpoint_type
+  }
 }
 
-  if (isSystemProvider(provider)) {
+/**
-    if (provider.id === 'aihubmix') {
+ * 主要用来对齐AISdk的BaseURL格式
-      return aihubmixProviderCreator(model, provider)
+ * Uses shared implementation with renderer-specific context
-    }
+ */
-    if (provider.id === 'vertexai') {
+function getRendererFormatContext(): ProviderFormatContext {
-      return vertexAnthropicProviderCreator(model, provider)
+  const vertexSettings = store.getState().llm.settings.vertexai
+  return {
+    vertex: {
+      project: vertexSettings.projectId || 'default-project',
+      location: vertexSettings.location || 'us-central1'
     }
   }
-  if (isAzureOpenAIProvider(provider)) {
-    return azureAnthropicProviderCreator(model, provider)
-  }
-  return provider
 }
 
 /**
@@ -70,38 +77,8 @@ function handleSpecialProviders(model: Model, provider: Provider): Provider {
  * @param provider - The provider whose API host is to be formatted.
  * @returns A new provider instance with the formatted API host.
  */
-export function formatProviderApiHost(provider: Provider): Provider {
+function formatProviderApiHost(provider: Provider): Provider {
-  const formatted = { ...provider }
+  return sharedFormatProviderApiHost(provider, getRendererFormatContext())
-  const appendApiVersion = !isWithTrailingSharp(provider.apiHost)
-  if (formatted.anthropicApiHost) {
-    formatted.anthropicApiHost = formatApiHost(formatted.anthropicApiHost, appendApiVersion)
-  }
-
-  if (isAnthropicProvider(provider)) {
-    const baseHost = formatted.anthropicApiHost || formatted.apiHost
-    // AI SDK needs /v1 in baseURL, Anthropic SDK will strip it in getSdkClient
-    formatted.apiHost = formatApiHost(baseHost, appendApiVersion)
-    if (!formatted.anthropicApiHost) {
-      formatted.anthropicApiHost = formatted.apiHost
-    }
-  } else if (formatted.id === SystemProviderIds.copilot || formatted.id === SystemProviderIds.github) {
-    formatted.apiHost = formatApiHost(formatted.apiHost, false)
-  } else if (isOllamaProvider(formatted)) {
-    formatted.apiHost = formatOllamaApiHost(formatted.apiHost)
-  } else if (isGeminiProvider(formatted)) {
-    formatted.apiHost = formatApiHost(formatted.apiHost, appendApiVersion, 'v1beta')
-  } else if (isAzureOpenAIProvider(formatted)) {
-    formatted.apiHost = formatAzureOpenAIApiHost(formatted.apiHost)
-  } else if (isVertexProvider(formatted)) {
-    formatted.apiHost = formatVertexApiHost(formatted)
-  } else if (isCherryAIProvider(formatted)) {
-    formatted.apiHost = formatApiHost(formatted.apiHost, false)
-  } else if (isPerplexityProvider(formatted)) {
-    formatted.apiHost = formatApiHost(formatted.apiHost, false)
-  } else {
-    formatted.apiHost = formatApiHost(formatted.apiHost, appendApiVersion)
-  }
-  return formatted
 }
 
 /**
@@ -132,7 +109,9 @@ export function adaptProvider({ provider, model }: { provider: Provider; model?:
 
   // Apply transformations in order
   if (model) {
-    adaptedProvider = handleSpecialProviders(model, adaptedProvider)
+    adaptedProvider = resolveActualProvider(adaptedProvider, model, {
+      isSystemProvider
+    })
   }
   adaptedProvider = formatProviderApiHost(adaptedProvider)
 
@@ -141,148 +120,11 @@ export function adaptProvider({ provider, model }: { provider: Provider; model?:
 
 /**
  * 将 Provider 配置转换为新 AI SDK 格式
- * 简化版：利用新的别名映射系统
+ * Uses shared implementation with renderer-specific context
  */
 export function providerToAiSdkConfig(actualProvider: Provider, model: Model): AiSdkConfig {
-  const aiSdkProviderId = getAiSdkProviderId(actualProvider)
+  const context = createRendererSdkContext(model)
-
+  return sharedProviderToAiSdkConfig(actualProvider, model.id, context) as AiSdkConfig
-  // 构建基础配置
-  const { baseURL, endpoint } = routeToEndpoint(actualProvider.apiHost)
-  const baseConfig = {
-    baseURL: baseURL,
-    apiKey: actualProvider.apiKey
-  }
-  let includeUsage: OpenAICompletionsStreamOptions['include_usage'] = undefined
-  if (isSupportStreamOptionsProvider(actualProvider)) {
-    includeUsage = store.getState().settings.openAI?.streamOptions?.includeUsage
-  }
-
-  const isCopilotProvider = actualProvider.id === SystemProviderIds.copilot
-  if (isCopilotProvider) {
-    const storedHeaders = store.getState().copilot.defaultHeaders ?? {}
-    const options = ProviderConfigFactory.fromProvider('github-copilot-openai-compatible', baseConfig, {
-      headers: {
-        ...COPILOT_DEFAULT_HEADERS,
-        ...storedHeaders,
-        ...actualProvider.extra_headers
-      },
-      name: actualProvider.id,
-      includeUsage
-    })
-
-    return {
-      providerId: 'github-copilot-openai-compatible',
-      options
-    }
-  }
-
-  if (isOllamaProvider(actualProvider)) {
-    return {
-      providerId: 'ollama',
-      options: {
-        ...baseConfig,
-        headers: {
-          ...actualProvider.extra_headers,
-          Authorization: !isEmpty(baseConfig.apiKey) ? `Bearer ${baseConfig.apiKey}` : undefined
-        }
-      }
-    }
-  }
-
-  // 处理OpenAI模式
-  const extraOptions: any = {}
-  extraOptions.endpoint = endpoint
-  if (actualProvider.type === 'openai-response' && !isOpenAIChatCompletionOnlyModel(model)) {
-    extraOptions.mode = 'responses'
-  } else if (aiSdkProviderId === 'openai' || (aiSdkProviderId === 'cherryin' && actualProvider.type === 'openai')) {
-    extraOptions.mode = 'chat'
-  }
-
-  extraOptions.headers = {
-    ...defaultAppHeaders(),
-    ...actualProvider.extra_headers
-  }
-
-  if (aiSdkProviderId === 'openai') {
-    extraOptions.headers['X-Api-Key'] = baseConfig.apiKey
-  }
-  // azure
-  // https://learn.microsoft.com/en-us/azure/ai-foundry/openai/latest
-  // https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/responses?tabs=python-key#responses-api
-  if (aiSdkProviderId === 'azure-responses') {
-    extraOptions.mode = 'responses'
-  } else if (aiSdkProviderId === 'azure') {
-    extraOptions.mode = 'chat'
-  }
-  if (isAzureOpenAIProvider(actualProvider)) {
-    const apiVersion = actualProvider.apiVersion?.trim()
-    if (apiVersion) {
-      extraOptions.apiVersion = apiVersion
-      if (!['preview', 'v1'].includes(apiVersion)) {
-        extraOptions.useDeploymentBasedUrls = true
-      }
-    }
-  }
-
-  // bedrock
-  if (aiSdkProviderId === 'bedrock') {
-    const authType = getAwsBedrockAuthType()
-    extraOptions.region = getAwsBedrockRegion()
-
-    if (authType === 'apiKey') {
-      extraOptions.apiKey = getAwsBedrockApiKey()
-    } else {
-      extraOptions.accessKeyId = getAwsBedrockAccessKeyId()
-      extraOptions.secretAccessKey = getAwsBedrockSecretAccessKey()
-    }
-  }
-  // google-vertex
-  if (aiSdkProviderId === 'google-vertex' || aiSdkProviderId === 'google-vertex-anthropic') {
-    if (!isVertexAIConfigured()) {
-      throw new Error('VertexAI is not configured. Please configure project, location and service account credentials.')
-    }
-    const { project, location, googleCredentials } = createVertexProvider(actualProvider)
-    extraOptions.project = project
-    extraOptions.location = location
-    extraOptions.googleCredentials = {
-      ...googleCredentials,
-      privateKey: formatPrivateKey(googleCredentials.privateKey)
-    }
-    baseConfig.baseURL += aiSdkProviderId === 'google-vertex' ? '/publishers/google' : '/publishers/anthropic/models'
-  }
-
-  // cherryin
-  if (aiSdkProviderId === 'cherryin') {
-    if (model.endpoint_type) {
-      extraOptions.endpointType = model.endpoint_type
-    }
-    // CherryIN API Host
-    const cherryinProvider = getProviderById(SystemProviderIds.cherryin)
-    if (cherryinProvider) {
-      extraOptions.anthropicBaseURL = cherryinProvider.anthropicApiHost + '/v1'
-      extraOptions.geminiBaseURL = cherryinProvider.apiHost + '/v1beta/models'
-    }
-  }
-
-  if (hasProviderConfig(aiSdkProviderId) && aiSdkProviderId !== 'openai-compatible') {
-    const options = ProviderConfigFactory.fromProvider(aiSdkProviderId, baseConfig, extraOptions)
-    return {
-      providerId: aiSdkProviderId,
-      options
-    }
-  }
-
-  // 否则fallback到openai-compatible
-  const options = ProviderConfigFactory.createOpenAICompatible(baseConfig.baseURL, baseConfig.apiKey)
-  return {
-    providerId: 'openai-compatible',
-    options: {
-      ...options,
-      name: actualProvider.id,
-      ...extraOptions,
-      includeUsage
-    }
-  }
 }
 
 /**
@@ -325,13 +167,13 @@ export async function prepareSpecialProviderConfig(
       break
     }
     case 'cherryai': {
-      config.options.fetch = async (url, options) => {
+      config.options.fetch = async (url: RequestInfo | URL, options: RequestInit) => {
         // 在这里对最终参数进行签名
         const signature = await window.api.cherryai.generateSignature({
           method: 'POST',
           path: '/chat/completions',
           query: '',
-          body: JSON.parse(options.body)
+          body: JSON.parse(options.body as string)
         })
         return fetch(url, {
           ...options,

src/renderer/src/aiCore/provider/providerInitialization.ts

@@ -1,124 +1,13 @@
-import { type ProviderConfig, registerMultipleProviderConfigs } from '@cherrystudio/ai-core/provider'
 import { loggerService } from '@logger'
-import * as z from 'zod'
+import { initializeSharedProviders, SHARED_PROVIDER_CONFIGS } from '@shared/provider'
 
 const logger = loggerService.withContext('ProviderConfigs')
 
-/**
+export const NEW_PROVIDER_CONFIGS = SHARED_PROVIDER_CONFIGS
- * 新Provider配置定义
- * 定义了需要动态注册的AI Providers
- */
-export const NEW_PROVIDER_CONFIGS: ProviderConfig[] = [
-  {
-    id: 'openrouter',
-    name: 'OpenRouter',
-    import: () => import('@openrouter/ai-sdk-provider'),
-    creatorFunctionName: 'createOpenRouter',
-    supportsImageGeneration: true,
-    aliases: ['openrouter']
-  },
-  {
-    id: 'google-vertex',
-    name: 'Google Vertex AI',
-    import: () => import('@ai-sdk/google-vertex/edge'),
-    creatorFunctionName: 'createVertex',
-    supportsImageGeneration: true,
-    aliases: ['vertexai']
-  },
-  {
-    id: 'google-vertex-anthropic',
-    name: 'Google Vertex AI Anthropic',
-    import: () => import('@ai-sdk/google-vertex/anthropic/edge'),
-    creatorFunctionName: 'createVertexAnthropic',
-    supportsImageGeneration: true,
-    aliases: ['vertexai-anthropic']
-  },
-  {
-    id: 'azure-anthropic',
-    name: 'Azure AI Anthropic',
-    import: () => import('@ai-sdk/anthropic'),
-    creatorFunctionName: 'createAnthropic',
-    supportsImageGeneration: false,
-    aliases: ['azure-anthropic']
-  },
-  {
-    id: 'github-copilot-openai-compatible',
-    name: 'GitHub Copilot OpenAI Compatible',
-    import: () => import('@opeoginni/github-copilot-openai-compatible'),
-    creatorFunctionName: 'createGitHubCopilotOpenAICompatible',
-    supportsImageGeneration: false,
-    aliases: ['copilot', 'github-copilot']
-  },
-  {
-    id: 'bedrock',
-    name: 'Amazon Bedrock',
-    import: () => import('@ai-sdk/amazon-bedrock'),
-    creatorFunctionName: 'createAmazonBedrock',
-    supportsImageGeneration: true,
-    aliases: ['aws-bedrock']
-  },
-  {
-    id: 'perplexity',
-    name: 'Perplexity',
-    import: () => import('@ai-sdk/perplexity'),
-    creatorFunctionName: 'createPerplexity',
-    supportsImageGeneration: false,
-    aliases: ['perplexity']
-  },
-  {
-    id: 'mistral',
-    name: 'Mistral',
-    import: () => import('@ai-sdk/mistral'),
-    creatorFunctionName: 'createMistral',
-    supportsImageGeneration: false,
-    aliases: ['mistral']
-  },
-  {
-    id: 'huggingface',
-    name: 'HuggingFace',
-    import: () => import('@ai-sdk/huggingface'),
-    creatorFunctionName: 'createHuggingFace',
-    supportsImageGeneration: true,
-    aliases: ['hf', 'hugging-face']
-  },
-  {
-    id: 'gateway',
-    name: 'Vercel AI Gateway',
-    import: () => import('@ai-sdk/gateway'),
-    creatorFunctionName: 'createGateway',
-    supportsImageGeneration: true,
-    aliases: ['ai-gateway']
-  },
-  {
-    id: 'cerebras',
-    name: 'Cerebras',
-    import: () => import('@ai-sdk/cerebras'),
-    creatorFunctionName: 'createCerebras',
-    supportsImageGeneration: false
-  },
-  {
-    id: 'ollama',
-    name: 'Ollama',
-    import: () => import('ollama-ai-provider-v2'),
-    creatorFunctionName: 'createOllama',
-    supportsImageGeneration: false
-  }
-] as const
 
-export const registeredNewProviderIds = NEW_PROVIDER_CONFIGS.map((config) => config.id)
-export const registeredNewProviderIdSchema = z.enum(registeredNewProviderIds)
-
-/**
- * 初始化新的Providers
- * 使用aiCore的动态注册功能
- */
 export async function initializeNewProviders(): Promise<void> {
-  try {
+  initializeSharedProviders({
-    const successCount = registerMultipleProviderConfigs(NEW_PROVIDER_CONFIGS)
+    warn: (message) => logger.warn(message),
-    if (successCount < NEW_PROVIDER_CONFIGS.length) {
+    error: (message, error) => logger.error(message, error)
-      logger.warn('Some providers failed to register. Check previous error logs.')
+  })
-    }
-  } catch (error) {
-    logger.error('Failed to initialize new providers:', error as Error)
-  }
 }

src/renderer/src/config/models/__tests__/tooluse.test.ts

@@ -6,6 +6,29 @@ import { isDeepSeekHybridInferenceModel } from '../reasoning'
 import { isFunctionCallingModel } from '../tooluse'
 import { isPureGenerateImageModel, isTextToImageModel } from '../vision'
 
+vi.mock('@renderer/i18n', () => ({
+  __esModule: true,
+  default: {
+    t: vi.fn((key: string) => key)
+  }
+}))
+
+vi.mock('@renderer/services/AssistantService', () => ({
+  getProviderByModel: vi.fn().mockReturnValue({
+    id: 'openai',
+    type: 'openai',
+    name: 'OpenAI',
+    models: []
+  }),
+  getAssistantSettings: vi.fn(),
+  getDefaultAssistant: vi.fn().mockReturnValue({
+    id: 'default',
+    name: 'Default Assistant',
+    prompt: '',
+    settings: {}
+  })
+}))
+
 vi.mock('@renderer/hooks/useStore', () => ({
   getStoreProviders: vi.fn(() => [])
 }))

src/renderer/src/config/models/__tests__/utils.test.ts

@@ -15,6 +15,7 @@ import {
   isSupportVerbosityModel
 } from '../openai'
 import { isQwenMTModel } from '../qwen'
+import { isFunctionCallingModel } from '../tooluse'
 import {
   agentModelFilter,
   getModelSupportedVerbosity,
@@ -71,6 +72,29 @@ vi.mock('@renderer/store/settings', () => {
   )
 })
 
+vi.mock('@renderer/i18n', () => ({
+  __esModule: true,
+  default: {
+    t: vi.fn((key: string) => key)
+  }
+}))
+
+vi.mock('@renderer/services/AssistantService', () => ({
+  getProviderByModel: vi.fn().mockReturnValue({
+    id: 'openai',
+    type: 'openai',
+    name: 'OpenAI',
+    models: []
+  }),
+  getAssistantSettings: vi.fn(),
+  getDefaultAssistant: vi.fn().mockReturnValue({
+    id: 'default',
+    name: 'Default Assistant',
+    prompt: '',
+    settings: {}
+  })
+}))
+
 vi.mock('@renderer/hooks/useSettings', () => ({
   useSettings: vi.fn(() => ({})),
   useNavbarPosition: vi.fn(() => ({ navbarPosition: 'left' })),
@@ -101,6 +125,10 @@ vi.mock('../websearch', () => ({
   isOpenAIWebSearchChatCompletionOnlyModel: vi.fn()
 }))
 
+vi.mock('../tooluse', () => ({
+  isFunctionCallingModel: vi.fn()
+}))
+
 const createModel = (overrides: Partial<Model> = {}): Model => ({
   id: 'gpt-4o',
   name: 'gpt-4o',
@@ -116,6 +144,7 @@ const textToImageMock = vi.mocked(isTextToImageModel)
 const generateImageMock = vi.mocked(isGenerateImageModel)
 const reasoningMock = vi.mocked(isOpenAIReasoningModel)
 const openAIWebSearchOnlyMock = vi.mocked(isOpenAIWebSearchChatCompletionOnlyModel)
+const isFunctionCallingModelMock = vi.mocked(isFunctionCallingModel)
 
 describe('model utils', () => {
   beforeEach(() => {
@@ -124,9 +153,10 @@ describe('model utils', () => {
     rerankMock.mockReturnValue(false)
     visionMock.mockReturnValue(true)
     textToImageMock.mockReturnValue(false)
-    generateImageMock.mockReturnValue(true)
+    generateImageMock.mockReturnValue(false)
     reasoningMock.mockReturnValue(false)
     openAIWebSearchOnlyMock.mockReturnValue(false)
+    isFunctionCallingModelMock.mockReturnValue(true)
   })
 
   describe('OpenAI model detection', () => {
@@ -598,6 +628,7 @@ describe('model utils', () => {
     describe('isGenerateImageModels', () => {
       it('returns true when all models support image generation', () => {
         const models = [createModel({ id: 'gpt-4o' }), createModel({ id: 'gpt-4o-mini' })]
+        generateImageMock.mockReturnValue(true)
         expect(isGenerateImageModels(models)).toBe(true)
       })
 
@@ -636,12 +667,22 @@ describe('model utils', () => {
         expect(agentModelFilter(createModel({ id: 'rerank' }))).toBe(false)
       })
 
+      it('filters out non-function-call models', () => {
+        rerankMock.mockReturnValue(false)
+        isFunctionCallingModelMock.mockReturnValueOnce(false)
+        expect(agentModelFilter(createModel({ id: 'DeepSeek R1' }))).toBe(false)
+      })
+
       it('filters out text-to-image models', () => {
         rerankMock.mockReturnValue(false)
         textToImageMock.mockReturnValueOnce(true)
         expect(agentModelFilter(createModel({ id: 'gpt-image-1' }))).toBe(false)
       })
     })
+
+    textToImageMock.mockReturnValue(false)
+    generateImageMock.mockReturnValueOnce(true)
+    expect(agentModelFilter(createModel({ id: 'dall-e-3' }))).toBe(false)
   })
 
   describe('Temperature limits', () => {

src/renderer/src/config/models/tooluse.ts

@@ -1,6 +1,8 @@
+import { getProviderByModel } from '@renderer/services/AssistantService'
 import type { Model } from '@renderer/types'
 import { isSystemProviderId } from '@renderer/types'
 import { getLowerBaseModelName, isUserSelectedModelType } from '@renderer/utils'
+import { isAzureOpenAIProvider } from '@shared/provider'
 
 import { isEmbeddingModel, isRerankModel } from './embedding'
 import { isDeepSeekHybridInferenceModel } from './reasoning'
@@ -55,6 +57,13 @@ export const FUNCTION_CALLING_REGEX = new RegExp(
   'i'
 )
 
+const AZURE_FUNCTION_CALLING_EXCLUDED_MODELS = [
+  '(?:Meta-)?Llama-3(?:\\.\\d+)?-[\\w-]+',
+  'Phi-[34](?:\\.[\\w-]+)?(?:-[\\w-]+)?',
+  'DeepSeek-(?:R1|V3)',
+  'Codestral-2501'
+]
+
 export function isFunctionCallingModel(model?: Model): boolean {
   if (!model || isEmbeddingModel(model) || isRerankModel(model) || isTextToImageModel(model)) {
     return false
@@ -70,6 +79,15 @@ export function isFunctionCallingModel(model?: Model): boolean {
     return FUNCTION_CALLING_REGEX.test(modelId) || FUNCTION_CALLING_REGEX.test(model.name)
   }
 
+  const provider = getProviderByModel(model)
+
+  if (isAzureOpenAIProvider(provider)) {
+    const azureExcludedRegex = new RegExp(`\\b(?:${AZURE_FUNCTION_CALLING_EXCLUDED_MODELS.join('|')})\\b`, 'i')
+    if (azureExcludedRegex.test(modelId)) {
+      return false
+    }
+  }
+
   // 2025/08/26 百炼与火山引擎均不支持 v3.1 函数调用
   // 先默认支持
   if (isDeepSeekHybridInferenceModel(model)) {

src/renderer/src/config/models/utils.ts

@@ -1,5 +1,6 @@
 import type OpenAI from '@cherrystudio/openai'
 import { isEmbeddingModel, isRerankModel } from '@renderer/config/models/embedding'
+import { getProviderByModel } from '@renderer/services/AssistantService'
 import type { Assistant } from '@renderer/types'
 import { type Model, SystemProviderIds } from '@renderer/types'
 import type { OpenAIVerbosity, ValidOpenAIVerbosity } from '@renderer/types/aiCoreTypes'
@@ -17,6 +18,7 @@ import {
 } from './openai'
 import { isQwenMTModel } from './qwen'
 import { isClaude45ReasoningModel } from './reasoning'
+import { isFunctionCallingModel } from './tooluse'
 import { isGenerateImageModel, isTextToImageModel, isVisionModel } from './vision'
 export const NOT_SUPPORTED_REGEX = /(?:^tts|whisper|speech)/i
 export const GEMINI_FLASH_MODEL_REGEX = new RegExp('gemini.*-flash.*$', 'i')
@@ -247,8 +249,21 @@ export const isGrokModel = (model: Model) => {
 // zhipu 视觉推理模型用这组 special token 标记推理结果
 export const ZHIPU_RESULT_TOKENS = ['<|begin_of_box|>', '<|end_of_box|>'] as const
 
+// TODO: 支持提示词模式的工具调用
 export const agentModelFilter = (model: Model): boolean => {
-  return !isEmbeddingModel(model) && !isRerankModel(model) && !isTextToImageModel(model)
+  const provider = getProviderByModel(model)
+
+  // 需要适配，且容易超出限额
+  if (provider.id === SystemProviderIds.copilot) {
+    return false
+  }
+  return (
+    !isEmbeddingModel(model) &&
+    !isRerankModel(model) &&
+    !isTextToImageModel(model) &&
+    !isGenerateImageModel(model) &&
+    isFunctionCallingModel(model)
+  )
 }
 
 export const isMaxTemperatureOneModel = (model: Model): boolean => {

src/renderer/src/pages/code/CodeToolsPage.tsx

@@ -17,7 +17,7 @@ import type { EndpointType, Model } from '@renderer/types'
 import { getClaudeSupportedProviders } from '@renderer/utils/provider'
 import type { TerminalConfig } from '@shared/config/constant'
 import { codeTools, terminalApps } from '@shared/config/constant'
-import { isSiliconAnthropicCompatibleModel } from '@shared/config/providers'
+import { isPpioAnthropicCompatibleModel, isSiliconAnthropicCompatibleModel } from '@shared/config/providers'
 import { Alert, Avatar, Button, Checkbox, Input, Popover, Select, Space, Tooltip } from 'antd'
 import { ArrowUpRight, Download, FolderOpen, HelpCircle, Terminal, X } from 'lucide-react'
 import type { FC } from 'react'
@@ -82,10 +82,12 @@ const CodeToolsPage: FC = () => {
         if (m.supported_endpoint_types) {
           return m.supported_endpoint_types.includes('anthropic')
         }
-        // Special handling for silicon provider: only specific models support Anthropic API
         if (m.provider === 'silicon') {
           return isSiliconAnthropicCompatibleModel(m.id)
         }
+        if (m.provider === 'ppio') {
+          return isPpioAnthropicCompatibleModel(m.id)
+        }
         return m.id.includes('claude') || CLAUDE_OFFICIAL_SUPPORTED_PROVIDERS.includes(m.provider)
       }
 

src/renderer/src/pages/home/Inputbar/AgentSessionInputbar.tsx

@@ -23,6 +23,7 @@ import { abortCompletion } from '@renderer/utils/abortController'
 import { buildAgentSessionTopicId } from '@renderer/utils/agentSession'
 import { getSendMessageShortcutLabel } from '@renderer/utils/input'
 import { createMainTextBlock, createMessage } from '@renderer/utils/messageUtils/create'
+import { parseModelId } from '@renderer/utils/model'
 import { documentExts, imageExts, textExts } from '@shared/config/constant'
 import type { FC } from 'react'
 import React, { useCallback, useEffect, useMemo, useRef } from 'react'
@@ -67,8 +68,9 @@ const AgentSessionInputbar: FC<Props> = ({ agentId, sessionId }) => {
     if (!session) return null
 
     // Extract model info
-    const [providerId, actualModelId] = session.model?.split(':') ?? [undefined, undefined]
+    // Use parseModelId to handle model IDs with colons (e.g., "openrouter:anthropic/claude:free")
-    const actualModel = actualModelId ? getModel(actualModelId, providerId) : undefined
+    const parsed = parseModelId(session.model)
+    const actualModel = parsed ? getModel(parsed.modelId, parsed.providerId) : undefined
 
     const model: Model | undefined = actualModel
       ? {

src/renderer/src/pages/settings/ProviderSettings/ProviderSetting.tsx

@@ -81,7 +81,8 @@ const ANTHROPIC_COMPATIBLE_PROVIDER_IDS = [
   SystemProviderIds.silicon,
   SystemProviderIds.qiniu,
   SystemProviderIds.dmxapi,
-  SystemProviderIds.mimo
+  SystemProviderIds.mimo,
+  SystemProviderIds.ppio
 ] as const
 type AnthropicCompatibleProviderId = (typeof ANTHROPIC_COMPATIBLE_PROVIDER_IDS)[number]
 

src/renderer/src/store/migrate.ts

@@ -2945,6 +2945,11 @@ const migrateConfig = {
           includeUsage: DEFAULT_STREAM_OPTIONS_INCLUDE_USAGE
         }
       }
+      state.llm.providers.forEach((provider) => {
+        if (provider.id === SystemProviderIds.ppio) {
+          provider.anthropicApiHost = 'https://api.ppinfra.com/anthropic'
+        }
+      })
       logger.info('migrate 182 success')
       return state
     } catch (error) {

src/renderer/src/types/index.ts

@@ -7,6 +7,7 @@ import type { CSSProperties } from 'react'
 export * from './file'
 export * from './note'
 
+import type { MinimalModel } from '@shared/provider/types'
 import * as z from 'zod'
 
 import type { StreamTextParams } from './aiCoreTypes'
@@ -274,7 +275,7 @@ export type ModelCapability = {
   isUserSelected?: boolean
 }
 
-export type Model = {
+export type Model = MinimalModel & {
   id: string
   provider: string
   name: string

src/renderer/src/types/provider.ts

@@ -1,25 +1,14 @@
 import type OpenAI from '@cherrystudio/openai'
+import type { MinimalProvider } from '@shared/provider'
+import type { ProviderType, SystemProviderId, SystemProviderIdTypeMap } from '@shared/provider/types'
+import { isSystemProviderId, SystemProviderIds } from '@shared/provider/types'
 import type { Model } from '@types'
-import * as z from 'zod'
 
 import type { OpenAIVerbosity } from './aiCoreTypes'
 
-export const ProviderTypeSchema = z.enum([
+export type { ProviderType } from '@shared/provider'
-  'openai',
+export type { SystemProviderId, SystemProviderIdTypeMap } from '@shared/provider/types'
-  'openai-response',
+export { isSystemProviderId, ProviderTypeSchema, SystemProviderIds } from '@shared/provider/types'
-  'anthropic',
-  'gemini',
-  'azure-openai',
-  'vertexai',
-  'mistral',
-  'aws-bedrock',
-  'vertex-anthropic',
-  'new-api',
-  'gateway',
-  'ollama'
-])
-
-export type ProviderType = z.infer<typeof ProviderTypeSchema>
 
 // undefined is treated as supported, enabled by default
 export type ProviderApiOptions = {
@@ -94,7 +83,7 @@ export function isAwsBedrockAuthType(type: string): type is AwsBedrockAuthType {
   return Object.hasOwn(AwsBedrockAuthTypes, type)
 }
 
-export type Provider = {
+export type Provider = MinimalProvider & {
   id: string
   type: ProviderType
   name: string
@@ -129,142 +118,6 @@ export type Provider = {
   extra_headers?: Record<string, string>
 }
 
-export const SystemProviderIdSchema = z.enum([
-  'cherryin',
-  'silicon',
-  'aihubmix',
-  'ocoolai',
-  'deepseek',
-  'ppio',
-  'alayanew',
-  'qiniu',
-  'dmxapi',
-  'burncloud',
-  'tokenflux',
-  '302ai',
-  'cephalon',
-  'lanyun',
-  'ph8',
-  'openrouter',
-  'ollama',
-  'ovms',
-  'new-api',
-  'lmstudio',
-  'anthropic',
-  'openai',
-  'azure-openai',
-  'gemini',
-  'vertexai',
-  'github',
-  'copilot',
-  'zhipu',
-  'yi',
-  'moonshot',
-  'baichuan',
-  'dashscope',
-  'stepfun',
-  'doubao',
-  'infini',
-  'minimax',
-  'groq',
-  'together',
-  'fireworks',
-  'nvidia',
-  'grok',
-  'hyperbolic',
-  'mistral',
-  'jina',
-  'perplexity',
-  'modelscope',
-  'xirang',
-  'hunyuan',
-  'tencent-cloud-ti',
-  'baidu-cloud',
-  'gpustack',
-  'voyageai',
-  'aws-bedrock',
-  'poe',
-  'aionly',
-  'longcat',
-  'huggingface',
-  'sophnet',
-  'gateway',
-  'cerebras',
-  'mimo'
-])
-
-export type SystemProviderId = z.infer<typeof SystemProviderIdSchema>
-
-export const isSystemProviderId = (id: string): id is SystemProviderId => {
-  return SystemProviderIdSchema.safeParse(id).success
-}
-
-export const SystemProviderIds = {
-  cherryin: 'cherryin',
-  silicon: 'silicon',
-  aihubmix: 'aihubmix',
-  ocoolai: 'ocoolai',
-  deepseek: 'deepseek',
-  ppio: 'ppio',
-  alayanew: 'alayanew',
-  qiniu: 'qiniu',
-  dmxapi: 'dmxapi',
-  burncloud: 'burncloud',
-  tokenflux: 'tokenflux',
-  '302ai': '302ai',
-  cephalon: 'cephalon',
-  lanyun: 'lanyun',
-  ph8: 'ph8',
-  sophnet: 'sophnet',
-  openrouter: 'openrouter',
-  ollama: 'ollama',
-  ovms: 'ovms',
-  'new-api': 'new-api',
-  lmstudio: 'lmstudio',
-  anthropic: 'anthropic',
-  openai: 'openai',
-  'azure-openai': 'azure-openai',
-  gemini: 'gemini',
-  vertexai: 'vertexai',
-  github: 'github',
-  copilot: 'copilot',
-  zhipu: 'zhipu',
-  yi: 'yi',
-  moonshot: 'moonshot',
-  baichuan: 'baichuan',
-  dashscope: 'dashscope',
-  stepfun: 'stepfun',
-  doubao: 'doubao',
-  infini: 'infini',
-  minimax: 'minimax',
-  groq: 'groq',
-  together: 'together',
-  fireworks: 'fireworks',
-  nvidia: 'nvidia',
-  grok: 'grok',
-  hyperbolic: 'hyperbolic',
-  mistral: 'mistral',
-  jina: 'jina',
-  perplexity: 'perplexity',
-  modelscope: 'modelscope',
-  xirang: 'xirang',
-  hunyuan: 'hunyuan',
-  'tencent-cloud-ti': 'tencent-cloud-ti',
-  'baidu-cloud': 'baidu-cloud',
-  gpustack: 'gpustack',
-  voyageai: 'voyageai',
-  'aws-bedrock': 'aws-bedrock',
-  poe: 'poe',
-  aionly: 'aionly',
-  longcat: 'longcat',
-  huggingface: 'huggingface',
-  gateway: 'gateway',
-  cerebras: 'cerebras',
-  mimo: 'mimo'
-} as const satisfies Record<SystemProviderId, SystemProviderId>
-
-type SystemProviderIdTypeMap = typeof SystemProviderIds
-
 export type SystemProvider = Provider & {
   id: SystemProviderId
   isSystem: true

src/renderer/src/utils/__tests__/api.test.ts

@@ -326,18 +326,7 @@ describe('api', () => {
     })
 
     it('uses global endpoint when location equals global', () => {
-      getStateMock.mockReturnValueOnce({
+      expect(formatVertexApiHost(createVertexProvider(''), 'global-project', 'global')).toBe(
-        llm: {
-          settings: {
-            vertexai: {
-              projectId: 'global-project',
-              location: 'global'
-            }
-          }
-        }
-      })
-
-      expect(formatVertexApiHost(createVertexProvider(''))).toBe(
         'https://aiplatform.googleapis.com/v1/projects/global-project/locations/global'
       )
     })

src/renderer/src/utils/__tests__/model.test.ts

@@ -1,7 +1,7 @@
 import type { Model, ModelTag } from '@renderer/types'
 import { describe, expect, it, vi } from 'vitest'
 
-import { getModelTags, isFreeModel } from '../model'
+import { getModelTags, isFreeModel, parseModelId } from '../model'
 
 // Mock the model checking functions from @renderer/config/models
 vi.mock('@renderer/config/models', () => ({
@@ -92,4 +92,85 @@ describe('model', () => {
       expect(getModelTags(models_2)).toStrictEqual(expected_2)
     })
   })
+
+  describe('parseModelId', () => {
+    it('should parse model identifiers with single colon', () => {
+      expect(parseModelId('anthropic:claude-3-sonnet')).toEqual({
+        providerId: 'anthropic',
+        modelId: 'claude-3-sonnet'
+      })
+
+      expect(parseModelId('openai:gpt-4')).toEqual({
+        providerId: 'openai',
+        modelId: 'gpt-4'
+      })
+    })
+
+    it('should parse model identifiers with multiple colons', () => {
+      expect(parseModelId('openrouter:anthropic/claude-3.5-sonnet:free')).toEqual({
+        providerId: 'openrouter',
+        modelId: 'anthropic/claude-3.5-sonnet:free'
+      })
+
+      expect(parseModelId('provider:model:suffix:extra')).toEqual({
+        providerId: 'provider',
+        modelId: 'model:suffix:extra'
+      })
+    })
+
+    it('should handle model identifiers without provider prefix', () => {
+      expect(parseModelId('claude-3-sonnet')).toEqual({
+        providerId: undefined,
+        modelId: 'claude-3-sonnet'
+      })
+
+      expect(parseModelId('gpt-4')).toEqual({
+        providerId: undefined,
+        modelId: 'gpt-4'
+      })
+    })
+
+    it('should return undefined for invalid inputs', () => {
+      expect(parseModelId(undefined)).toBeUndefined()
+      expect(parseModelId('')).toBeUndefined()
+      expect(parseModelId('   ')).toBeUndefined()
+    })
+
+    it('should handle edge cases with colons', () => {
+      // Colon at start - treat as modelId without provider
+      expect(parseModelId(':missing-provider')).toEqual({
+        providerId: undefined,
+        modelId: ':missing-provider'
+      })
+
+      // Colon at end - treat everything before as modelId
+      expect(parseModelId('missing-model:')).toEqual({
+        providerId: undefined,
+        modelId: 'missing-model'
+      })
+
+      // Only colon - treat as modelId without provider
+      expect(parseModelId(':')).toEqual({
+        providerId: undefined,
+        modelId: ':'
+      })
+    })
+
+    it('should handle edge cases', () => {
+      expect(parseModelId('a:b')).toEqual({
+        providerId: 'a',
+        modelId: 'b'
+      })
+
+      expect(parseModelId('provider:model-with-dashes')).toEqual({
+        providerId: 'provider',
+        modelId: 'model-with-dashes'
+      })
+
+      expect(parseModelId('provider:model/with/slashes')).toEqual({
+        providerId: 'provider',
+        modelId: 'model/with/slashes'
+      })
+    })
+  })
 })

src/renderer/src/utils/api.ts

@@ -1,6 +1,20 @@
-import store from '@renderer/store'
+export {
-import type { VertexProvider } from '@renderer/types'
+  formatApiHost,
-import { trim } from 'lodash'
+  formatAzureOpenAIApiHost,
+  formatOllamaApiHost,
+  formatVertexApiHost,
+  getAiSdkBaseUrl,
+  getTrailingApiVersion,
+  hasAPIVersion,
+  isWithTrailingSharp,
+  routeToEndpoint,
+  SUPPORTED_ENDPOINT_LIST,
+  SUPPORTED_IMAGE_ENDPOINT_LIST,
+  validateApiHost,
+  withoutTrailingApiVersion,
+  withoutTrailingSharp,
+  withoutTrailingSlash
+} from '@shared/utils/url'
 
 /**
  * 格式化 API key 字符串。
@@ -12,228 +26,6 @@ export function formatApiKeys(value: string): string {
   return value.replaceAll('，', ',').replaceAll('\n', ',')
 }
 
-/**
- * Matches a version segment in a path that starts with `/v<number>` and optionally
- * continues with `alpha` or `beta`. The segment may be followed by `/` or the end
- * of the string (useful for cases like `/v3alpha/resources`).
- */
-const VERSION_REGEX_PATTERN = '\\/v\\d+(?:alpha|beta)?(?=\\/|$)'
-
-/**
- * Matches an API version at the end of a URL (with optional trailing slash).
- * Used to detect and extract versions only from the trailing position.
- */
-const TRAILING_VERSION_REGEX = /\/v\d+(?:alpha|beta)?\/?$/i
-
-/**
- * 判断 host 的 path 中是否包含形如版本的字符串（例如 /v1、/v2beta 等），
- *
- * @param host - 要检查的 host 或 path 字符串
- * @returns 如果 path 中包含版本字符串则返回 true，否则 false
- */
-export function hasAPIVersion(host?: string): boolean {
-  if (!host) return false
-
-  const regex = new RegExp(VERSION_REGEX_PATTERN, 'i')
-
-  try {
-    const url = new URL(host)
-    return regex.test(url.pathname)
-  } catch {
-    // 若无法作为完整 URL 解析，则当作路径直接检测
-    return regex.test(host)
-  }
-}
-
-/**
- * Removes the trailing slash from a URL string if it exists.
- *
- * @template T - The string type to preserve type safety
- * @param {T} url - The URL string to process
- * @returns {T} The URL string without a trailing slash
- *
- * @example
- * ```ts
- * withoutTrailingSlash('https://example.com/') // 'https://example.com'
- * withoutTrailingSlash('https://example.com')  // 'https://example.com'
- * ```
- */
-export function withoutTrailingSlash<T extends string>(url: T): T {
-  return url.replace(/\/$/, '') as T
-}
-
-/**
- * Checks if a URL string ends with a trailing '#' character.
- *
- * @template T - The string type to preserve type safety
- * @param {T} url - The URL string to check
- * @returns {boolean} True if the URL ends with '#', false otherwise
- *
- * @example
- * ```ts
- * isWithTrailingSharp('https://example.com#') // true
- * isWithTrailingSharp('https://example.com')  // false
- * ```
- */
-export function isWithTrailingSharp<T extends string>(url: T): boolean {
-  return url.endsWith('#')
-}
-
-/**
- * Removes the trailing '#' from a URL string if it exists.
- *
- * @template T - The string type to preserve type safety
- * @param {T} url - The URL string to process
- * @returns {T} The URL string without a trailing '#'
- *
- * @example
- * ```ts
- * withoutTrailingSharp('https://example.com#') // 'https://example.com'
- * withoutTrailingSharp('https://example.com')  // 'https://example.com'
- * ```
- */
-export function withoutTrailingSharp<T extends string>(url: T): T {
-  return url.replace(/#$/, '') as T
-}
-
-/**
- * Formats an API host URL by normalizing it and optionally appending an API version.
- *
- * @param host - The API host URL to format. Leading/trailing whitespace will be trimmed and trailing slashes removed.
- * @param supportApiVersion - Whether the API version is supported. Defaults to `true`.
- * @param apiVersion - The API version to append if needed. Defaults to `'v1'`.
- *
- * @returns The formatted API host URL. If the host is empty after normalization, returns an empty string.
- *          If the host ends with '#', API version is not supported, or the host already contains a version, returns the normalized host with trailing '#' removed.
- *          Otherwise, returns the host with the API version appended.
- *
- * @example
- * formatApiHost('https://api.example.com/') // Returns 'https://api.example.com/v1'
- * formatApiHost('https://api.example.com#') // Returns 'https://api.example.com'
- * formatApiHost('https://api.example.com/v2', true, 'v1') // Returns 'https://api.example.com/v2'
- */
-export function formatApiHost(host?: string, supportApiVersion: boolean = true, apiVersion: string = 'v1'): string {
-  const normalizedHost = withoutTrailingSlash(trim(host))
-  if (!normalizedHost) {
-    return ''
-  }
-
-  const shouldAppendApiVersion = !(normalizedHost.endsWith('#') || !supportApiVersion || hasAPIVersion(normalizedHost))
-
-  if (shouldAppendApiVersion) {
-    return `${normalizedHost}/${apiVersion}`
-  } else {
-    return withoutTrailingSharp(normalizedHost)
-  }
-}
-
-/**
- * 格式化 Ollama 的 API 主机地址。
- */
-export function formatOllamaApiHost(host: string): string {
-  const normalizedHost = withoutTrailingSlash(host)
-    ?.replace(/\/v1$/, '')
-    ?.replace(/\/api$/, '')
-    ?.replace(/\/chat$/, '')
-  return formatApiHost(normalizedHost + '/api', false)
-}
-
-/**
- * 格式化 Azure OpenAI 的 API 主机地址。
- */
-export function formatAzureOpenAIApiHost(host: string): string {
-  const normalizedHost = withoutTrailingSlash(host)
-    ?.replace(/\/v1$/, '')
-    .replace(/\/openai$/, '')
-  // NOTE: AISDK会添加上`v1`
-  return formatApiHost(normalizedHost + '/openai', false)
-}
-
-export function formatVertexApiHost(provider: VertexProvider): string {
-  const { apiHost } = provider
-  const { projectId: project, location } = store.getState().llm.settings.vertexai
-  const trimmedHost = withoutTrailingSlash(trim(apiHost))
-  if (!trimmedHost || trimmedHost.endsWith('aiplatform.googleapis.com')) {
-    const host =
-      location == 'global' ? 'https://aiplatform.googleapis.com' : `https://${location}-aiplatform.googleapis.com`
-    return `${formatApiHost(host)}/projects/${project}/locations/${location}`
-  }
-  return formatApiHost(trimmedHost)
-}
-
-// 目前对话界面只支持这些端点
-export const SUPPORTED_IMAGE_ENDPOINT_LIST = ['images/generations', 'images/edits', 'predict'] as const
-export const SUPPORTED_ENDPOINT_LIST = [
-  'chat/completions',
-  'responses',
-  'messages',
-  'generateContent',
-  'streamGenerateContent',
-  ...SUPPORTED_IMAGE_ENDPOINT_LIST
-] as const
-
-/**
- * Converts an API host URL into separate base URL and endpoint components.
- *
- * @param apiHost - The API host string to parse. Expected to be a trimmed URL that may end with '#' followed by an endpoint identifier.
- * @returns An object containing:
- *   - `baseURL`: The base URL without the endpoint suffix
- *   - `endpoint`: The matched endpoint identifier, or empty string if no match found
- *
- * @description
- * This function extracts endpoint information from a composite API host string.
- * If the host ends with '#', it attempts to match the preceding part against the supported endpoint list.
- * The '#' delimiter is removed before processing.
- *
- * @example
- * routeToEndpoint('https://api.example.com/openai/chat/completions#')
- * // Returns: { baseURL: 'https://api.example.com/v1', endpoint: 'chat/completions' }
- *
- * @example
- * routeToEndpoint('https://api.example.com/v1')
- * // Returns: { baseURL: 'https://api.example.com/v1', endpoint: '' }
- */
-export function routeToEndpoint(apiHost: string): { baseURL: string; endpoint: string } {
-  const trimmedHost = trim(apiHost)
-  // 前面已经确保apiHost合法
-  if (!trimmedHost.endsWith('#')) {
-    return { baseURL: trimmedHost, endpoint: '' }
-  }
-  // 去掉结尾的 #
-  const host = trimmedHost.slice(0, -1)
-  const endpointMatch = SUPPORTED_ENDPOINT_LIST.find((endpoint) => host.endsWith(endpoint))
-  if (!endpointMatch) {
-    const baseURL = withoutTrailingSlash(host)
-    return { baseURL, endpoint: '' }
-  }
-  const baseSegment = host.slice(0, host.length - endpointMatch.length)
-  const baseURL = withoutTrailingSlash(baseSegment).replace(/:$/, '') // 去掉结尾可能存在的冒号(gemini的特殊情况)
-  return { baseURL, endpoint: endpointMatch }
-}
-
-/**
- * 验证 API 主机地址是否合法。
- *
- * @param {string} apiHost - 需要验证的 API 主机地址。
- * @returns {boolean} 如果是合法的 URL 则返回 true，否则返回 false。
- */
-export function validateApiHost(apiHost: string): boolean {
-  // 允许apiHost为空
-  if (!apiHost || !trim(apiHost)) {
-    return true
-  }
-  try {
-    const url = new URL(trim(apiHost))
-    // 验证协议是否为 http 或 https
-    if (url.protocol !== 'http:' && url.protocol !== 'https:') {
-      return false
-    }
-    return true
-  } catch {
-    return false
-  }
-}
-
 /**
  * API key 脱敏函数。仅保留部分前后字符，中间用星号代替。
  *
@@ -272,50 +64,3 @@ export function splitApiKeyString(keyStr: string): string[] {
     .map((k) => k.replace(/\\,/g, ','))
     .filter((k) => k)
 }
-
-/**
- * Extracts the trailing API version segment from a URL path.
- *
- * This function extracts API version patterns (e.g., `v1`, `v2beta`) from the end of a URL.
- * Only versions at the end of the path are extracted, not versions in the middle.
- * The returned version string does not include leading or trailing slashes.
- *
- * @param {string} url - The URL string to parse.
- * @returns {string | undefined} The trailing API version found (e.g., 'v1', 'v2beta'), or undefined if none found.
- *
- * @example
- * getTrailingApiVersion('https://api.example.com/v1') // 'v1'
- * getTrailingApiVersion('https://api.example.com/v2beta/') // 'v2beta'
- * getTrailingApiVersion('https://api.example.com/v1/chat') // undefined (version not at end)
- * getTrailingApiVersion('https://gateway.ai.cloudflare.com/v1/xxx/v1beta') // 'v1beta'
- * getTrailingApiVersion('https://api.example.com') // undefined
- */
-export function getTrailingApiVersion(url: string): string | undefined {
-  const match = url.match(TRAILING_VERSION_REGEX)
-
-  if (match) {
-    // Extract version without leading slash and trailing slash
-    return match[0].replace(/^\//, '').replace(/\/$/, '')
-  }
-
-  return undefined
-}
-
-/**
- * Removes the trailing API version segment from a URL path.
- *
- * This function removes API version patterns (e.g., `/v1`, `/v2beta`) from the end of a URL.
- * Only versions at the end of the path are removed, not versions in the middle.
- *
- * @param {string} url - The URL string to process.
- * @returns {string} The URL with the trailing API version removed, or the original URL if no trailing version found.
- *
- * @example
- * withoutTrailingApiVersion('https://api.example.com/v1') // 'https://api.example.com'
- * withoutTrailingApiVersion('https://api.example.com/v2beta/') // 'https://api.example.com'
- * withoutTrailingApiVersion('https://api.example.com/v1/chat') // 'https://api.example.com/v1/chat' (no change)
- * withoutTrailingApiVersion('https://api.example.com') // 'https://api.example.com'
- */
-export function withoutTrailingApiVersion(url: string): string {
-  return url.replace(TRAILING_VERSION_REGEX, '')
-}

src/renderer/src/utils/model.ts

@@ -81,3 +81,57 @@ export const apiModelAdapter = (model: ApiModel): AdaptedApiModel => {
     origin: model
   }
 }
+
+/**
+ * Parse a model identifier in the format "provider:modelId"
+ * where modelId may contain additional colons (e.g., "openrouter:anthropic/claude-3.5-sonnet:free")
+ *
+ * @param modelIdentifier - The full model identifier string
+ * @returns Object with providerId and modelId. If no provider prefix found, providerId will be undefined
+ *
+ * @example
+ * parseModelId("openrouter:anthropic/claude-3.5-sonnet:free")
+ * // => { providerId: "openrouter", modelId: "anthropic/claude-3.5-sonnet:free" }
+ *
+ * @example
+ * parseModelId("anthropic:claude-3-sonnet")
+ * // => { providerId: "anthropic", modelId: "claude-3-sonnet" }
+ *
+ * @example
+ * parseModelId("claude-3-sonnet")
+ * // => { providerId: undefined, modelId: "claude-3-sonnet" }
+ *
+ * @example
+ * parseModelId("") // => undefined
+ */
+export function parseModelId(
+  modelIdentifier: string | undefined
+): { providerId: string | undefined; modelId: string } | undefined {
+  if (!modelIdentifier || typeof modelIdentifier !== 'string' || modelIdentifier.trim() === '') {
+    return undefined
+  }
+
+  const colonIndex = modelIdentifier.indexOf(':')
+
+  // No colon found or colon at the start - treat entire string as modelId
+  if (colonIndex <= 0) {
+    return {
+      providerId: undefined,
+      modelId: modelIdentifier
+    }
+  }
+
+  // Colon at the end - treat everything before as modelId
+  if (colonIndex >= modelIdentifier.length - 1) {
+    return {
+      providerId: undefined,
+      modelId: modelIdentifier.substring(0, colonIndex)
+    }
+  }
+
+  // Standard format: "provider:modelId"
+  return {
+    providerId: modelIdentifier.substring(0, colonIndex),
+    modelId: modelIdentifier.substring(colonIndex + 1)
+  }
+}

src/renderer/src/utils/naming.ts

@@ -2,6 +2,8 @@ import { getProviderLabel } from '@renderer/i18n/label'
 import type { Provider } from '@renderer/types'
 import { isSystemProvider } from '@renderer/types'
 
+export { getBaseModelName, getLowerBaseModelName } from '@shared/utils/naming'
+
 /**
  * 从模型 ID 中提取默认组名。
  * 规则如下：
@@ -50,42 +52,6 @@ export const getDefaultGroupName = (id: string, provider?: string): string => {
   return str
 }
 
-/**
- * 从模型 ID 中提取基础名称。
- * 例如：
- * - 'deepseek/deepseek-r1' => 'deepseek-r1'
- * - 'deepseek-ai/deepseek/deepseek-r1' => 'deepseek-r1'
- * @param {string} id 模型 ID
- * @param {string} [delimiter='/'] 分隔符，默认为 '/'
- * @returns {string} 基础名称
- */
-export const getBaseModelName = (id: string, delimiter: string = '/'): string => {
-  const parts = id.split(delimiter)
-  return parts[parts.length - 1]
-}
-
-/**
- * 从模型 ID 中提取基础名称并转换为小写。
- * 例如：
- * - 'deepseek/DeepSeek-R1' => 'deepseek-r1'
- * - 'deepseek-ai/deepseek/DeepSeek-R1' => 'deepseek-r1'
- * @param {string} id 模型 ID
- * @param {string} [delimiter='/'] 分隔符，默认为 '/'
- * @returns {string} 小写的基础名称
- */
-export const getLowerBaseModelName = (id: string, delimiter: string = '/'): string => {
-  const baseModelName = getBaseModelName(id, delimiter).toLowerCase()
-  // for openrouter
-  if (baseModelName.endsWith(':free')) {
-    return baseModelName.replace(':free', '')
-  }
-  // for cherryin
-  if (baseModelName.endsWith('(free)')) {
-    return baseModelName.replace('(free)', '')
-  }
-  return baseModelName
-}
-
 /**
  * 获取模型服务商名称，根据是否内置服务商来决定要不要翻译
  * @param provider 服务商

src/renderer/src/utils/provider.ts

@@ -1,10 +1,21 @@
 import { CLAUDE_SUPPORTED_PROVIDERS } from '@renderer/pages/code'
-import type { AzureOpenAIProvider, ProviderType, VertexProvider } from '@renderer/types'
+import type { ProviderType } from '@renderer/types'
 import { isSystemProvider, type Provider, type SystemProviderId, SystemProviderIds } from '@renderer/types'
-
+export {
-export const isAzureResponsesEndpoint = (provider: AzureOpenAIProvider) => {
+  isAIGatewayProvider,
-  return provider.apiVersion === 'preview' || provider.apiVersion === 'v1'
+  isAnthropicProvider,
-}
+  isAwsBedrockProvider,
+  isAzureOpenAIProvider,
+  isAzureResponsesEndpoint,
+  isCherryAIProvider,
+  isGeminiProvider,
+  isNewApiProvider,
+  isOllamaProvider,
+  isOpenAICompatibleProvider,
+  isOpenAIProvider,
+  isPerplexityProvider,
+  isVertexProvider
+} from '@shared/provider'
 
 export const getClaudeSupportedProviders = (providers: Provider[]) => {
   return providers.filter(
@@ -127,59 +138,6 @@ export const isGeminiWebSearchProvider = (provider: Provider) => {
   return SUPPORT_GEMINI_NATIVE_WEB_SEARCH_PROVIDERS.some((id) => id === provider.id)
 }
 
-export const isNewApiProvider = (provider: Provider) => {
-  return ['new-api', 'cherryin'].includes(provider.id) || provider.type === 'new-api'
-}
-
-export function isCherryAIProvider(provider: Provider): boolean {
-  return provider.id === 'cherryai'
-}
-
-export function isPerplexityProvider(provider: Provider): boolean {
-  return provider.id === 'perplexity'
-}
-
-/**
- * 判断是否为 OpenAI 兼容的提供商
- * @param {Provider} provider 提供商对象
- * @returns {boolean} 是否为 OpenAI 兼容提供商
- */
-export function isOpenAICompatibleProvider(provider: Provider): boolean {
-  return ['openai', 'new-api', 'mistral'].includes(provider.type)
-}
-
-export function isAzureOpenAIProvider(provider: Provider): provider is AzureOpenAIProvider {
-  return provider.type === 'azure-openai'
-}
-
-export function isOpenAIProvider(provider: Provider): boolean {
-  return provider.type === 'openai-response'
-}
-
-export function isVertexProvider(provider: Provider): provider is VertexProvider {
-  return provider.type === 'vertexai'
-}
-
-export function isAwsBedrockProvider(provider: Provider): boolean {
-  return provider.type === 'aws-bedrock'
-}
-
-export function isAnthropicProvider(provider: Provider): boolean {
-  return provider.type === 'anthropic'
-}
-
-export function isGeminiProvider(provider: Provider): boolean {
-  return provider.type === 'gemini'
-}
-
-export function isAIGatewayProvider(provider: Provider): boolean {
-  return provider.type === 'gateway'
-}
-
-export function isOllamaProvider(provider: Provider): boolean {
-  return provider.type === 'ollama'
-}
-
 const NOT_SUPPORT_API_VERSION_PROVIDERS = ['github', 'copilot', 'perplexity'] as const satisfies SystemProviderId[]
 
 export const isSupportAPIVersionProvider = (provider: Provider) => {

tests/main.setup.ts

@@ -61,7 +61,19 @@ vi.mock('electron', () => ({
     getPrimaryDisplay: vi.fn(),
     getAllDisplays: vi.fn()
   },
-  Notification: vi.fn()
+  Notification: vi.fn(),
+  net: {
+    fetch: vi.fn(() =>
+      Promise.resolve({
+        ok: true,
+        status: 200,
+        statusText: 'OK',
+        json: vi.fn(() => Promise.resolve({})),
+        text: vi.fn(() => Promise.resolve('')),
+        headers: new Headers()
+      })
+    )
+  }
 }))
 
 // Mock Winston for LoggerService dependencies
@@ -97,14 +109,39 @@ vi.mock('winston-daily-rotate-file', () => {
   }))
 })
 
+// Mock main process services
+vi.mock('@main/services/AnthropicService', () => ({
+  default: {}
+}))
+
+vi.mock('@main/services/CopilotService', () => ({
+  default: {}
+}))
+
+vi.mock('@main/services/ReduxService', () => ({
+  reduxService: {
+    selectSync: vi.fn()
+  }
+}))
+
+vi.mock('@main/integration/cherryai', () => ({
+  generateSignature: vi.fn()
+}))
+
 // Mock Node.js modules
-vi.mock('node:os', () => ({
+vi.mock('node:os', async () => {
+  const actual = await vi.importActual<typeof import('node:os')>('node:os')
+  return {
+    ...actual,
+    default: actual,
     platform: vi.fn(() => 'darwin'),
     arch: vi.fn(() => 'x64'),
     version: vi.fn(() => '20.0.0'),
     cpus: vi.fn(() => [{ model: 'Mock CPU' }]),
-  totalmem: vi.fn(() => 8 * 1024 * 1024 * 1024) // 8GB
+    totalmem: vi.fn(() => 8 * 1024 * 1024 * 1024), // 8GB
-}))
+    homedir: vi.fn(() => '/tmp')
+  }
+})
 
 vi.mock('node:path', async () => {
   const actual = await vi.importActual('node:path')

tsconfig.node.json

@@ -8,8 +8,10 @@
     "src/preload/**/*",
     "src/renderer/src/services/traceApi.ts",
     "src/renderer/src/types/*",
+    "packages/aiCore/src/**/*",
     "packages/mcp-trace/**/*",
     "packages/shared/**/*",
+    "packages/ai-sdk-provider/**/*"
   ],
   "compilerOptions": {
     "composite": true,
@@ -26,7 +28,12 @@
       "@types": ["./src/renderer/src/types/index.ts"],
       "@shared/*": ["./packages/shared/*"],
       "@mcp-trace/*": ["./packages/mcp-trace/*"],
-      "@modelcontextprotocol/sdk/*": ["./node_modules/@modelcontextprotocol/sdk/dist/esm/*"]
+      "@modelcontextprotocol/sdk/*": ["./node_modules/@modelcontextprotocol/sdk/dist/esm/*"],
+      "@cherrystudio/ai-core/provider": ["./packages/aiCore/src/core/providers/index.ts"],
+      "@cherrystudio/ai-core/built-in/plugins": ["./packages/aiCore/src/core/plugins/built-in/index.ts"],
+      "@cherrystudio/ai-core/*": ["./packages/aiCore/src/*"],
+      "@cherrystudio/ai-core": ["./packages/aiCore/src/index.ts"],
+      "@cherrystudio/ai-sdk-provider": ["./packages/ai-sdk-provider/src/index.ts"]
     },
     "experimentalDecorators": true,
     "emitDecoratorMetadata": true,