refactor(aiCore): extract MixedBaseAPIClient as abstract class (#8618)
refactor(aiCore): 提取MixedBaseAPIClient基类重构API客户端 将AihubmixAPIClient和NewAPIClient的公共逻辑提取到MixedBaseAPIClient基类 减少代码重复，提高可维护性
This commit is contained in:
Phantom
@@ -1,43 +1,23 @@
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import { isOpenAILLMModel } from '@renderer/config/models'
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import {
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GenerateImageParams,
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MCPCallToolResponse,
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MCPTool,
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MCPToolResponse,
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Model,
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Provider,
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ToolCallResponse
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} from '@renderer/types'
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import {
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RequestOptions,
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SdkInstance,
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SdkMessageParam,
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SdkModel,
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SdkParams,
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SdkRawChunk,
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SdkRawOutput,
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SdkTool,
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SdkToolCall
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} from '@renderer/types/sdk'
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import { Model, Provider } from '@renderer/types'
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import { CompletionsContext } from '../middleware/types'
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import { AnthropicAPIClient } from './anthropic/AnthropicAPIClient'
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import { BaseApiClient } from './BaseApiClient'
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import { GeminiAPIClient } from './gemini/GeminiAPIClient'
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import { MixedBaseAPIClient } from './MixedBaseApiClient'
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import { OpenAIAPIClient } from './openai/OpenAIApiClient'
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import { OpenAIResponseAPIClient } from './openai/OpenAIResponseAPIClient'
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import { RequestTransformer, ResponseChunkTransformer } from './types'
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/**
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* AihubmixAPIClient - 根据模型类型自动选择合适的ApiClient
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* 使用装饰器模式实现，在ApiClient层面进行模型路由
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*/
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export class AihubmixAPIClient extends BaseApiClient {
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export class AihubmixAPIClient extends MixedBaseAPIClient {
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// 使用联合类型而不是any，保持类型安全
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private clients: Map<string, AnthropicAPIClient | GeminiAPIClient | OpenAIResponseAPIClient | OpenAIAPIClient> =
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protected clients: Map<string, AnthropicAPIClient | GeminiAPIClient | OpenAIResponseAPIClient | OpenAIAPIClient> =
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new Map()
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private defaultClient: OpenAIAPIClient
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private currentClient: BaseApiClient
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protected defaultClient: OpenAIAPIClient
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protected currentClient: BaseApiClient
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constructor(provider: Provider) {
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super(provider)
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@@ -73,24 +53,10 @@ export class AihubmixAPIClient extends BaseApiClient {
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return this.currentClient.getBaseURL()
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}
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/**
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* 类型守卫：确保client是BaseApiClient的实例
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*/
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private isValidClient(client: unknown): client is BaseApiClient {
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return (
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client !== null &&
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client !== undefined &&
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typeof client === 'object' &&
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'createCompletions' in client &&
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'getRequestTransformer' in client &&
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'getResponseChunkTransformer' in client
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)
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}
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/**
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* 根据模型获取合适的client
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*/
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private getClient(model: Model): BaseApiClient {
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protected getClient(model: Model): BaseApiClient {
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const id = model.id.toLowerCase()
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// claude开头
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@@ -127,114 +93,4 @@ export class AihubmixAPIClient extends BaseApiClient {
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return this.defaultClient as BaseApiClient
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}
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/**
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* 根据模型选择合适的client并委托调用
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*/
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public getClientForModel(model: Model): BaseApiClient {
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this.currentClient = this.getClient(model)
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return this.currentClient
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}
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/**
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* 重写基类方法，返回内部实际使用的客户端类型
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*/
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public override getClientCompatibilityType(model?: Model): string[] {
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if (!model) {
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return [this.constructor.name]
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}
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const actualClient = this.getClient(model)
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return actualClient.getClientCompatibilityType(model)
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}
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// ============ BaseApiClient 抽象方法实现 ============
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async createCompletions(payload: SdkParams, options?: RequestOptions): Promise<SdkRawOutput> {
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// 尝试从payload中提取模型信息来选择client
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const modelId = this.extractModelFromPayload(payload)
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if (modelId) {
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const modelObj = { id: modelId } as Model
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const targetClient = this.getClient(modelObj)
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return targetClient.createCompletions(payload, options)
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}
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// 如果无法从payload中提取模型，使用当前设置的client
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return this.currentClient.createCompletions(payload, options)
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}
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/**
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* 从SDK payload中提取模型ID
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*/
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private extractModelFromPayload(payload: SdkParams): string | null {
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// 不同的SDK可能有不同的字段名
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if ('model' in payload && typeof payload.model === 'string') {
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return payload.model
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}
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return null
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}
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async generateImage(params: GenerateImageParams): Promise<string[]> {
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return this.currentClient.generateImage(params)
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}
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async getEmbeddingDimensions(model?: Model): Promise<number> {
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const client = model ? this.getClient(model) : this.currentClient
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return client.getEmbeddingDimensions(model)
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}
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async listModels(): Promise<SdkModel[]> {
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// 可以聚合所有client的模型，或者使用默认client
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return this.defaultClient.listModels()
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}
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async getSdkInstance(): Promise<SdkInstance> {
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return this.currentClient.getSdkInstance()
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}
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getRequestTransformer(): RequestTransformer<SdkParams, SdkMessageParam> {
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return this.currentClient.getRequestTransformer()
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}
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getResponseChunkTransformer(ctx: CompletionsContext): ResponseChunkTransformer<SdkRawChunk> {
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return this.currentClient.getResponseChunkTransformer(ctx)
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}
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convertMcpToolsToSdkTools(mcpTools: MCPTool[]): SdkTool[] {
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return this.currentClient.convertMcpToolsToSdkTools(mcpTools)
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}
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convertSdkToolCallToMcp(toolCall: SdkToolCall, mcpTools: MCPTool[]): MCPTool | undefined {
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return this.currentClient.convertSdkToolCallToMcp(toolCall, mcpTools)
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}
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convertSdkToolCallToMcpToolResponse(toolCall: SdkToolCall, mcpTool: MCPTool): ToolCallResponse {
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return this.currentClient.convertSdkToolCallToMcpToolResponse(toolCall, mcpTool)
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}
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buildSdkMessages(
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currentReqMessages: SdkMessageParam[],
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output: SdkRawOutput | string,
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toolResults: SdkMessageParam[],
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toolCalls?: SdkToolCall[]
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): SdkMessageParam[] {
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return this.currentClient.buildSdkMessages(currentReqMessages, output, toolResults, toolCalls)
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}
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convertMcpToolResponseToSdkMessageParam(
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mcpToolResponse: MCPToolResponse,
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resp: MCPCallToolResponse,
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model: Model
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): SdkMessageParam | undefined {
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const client = this.getClient(model)
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return client.convertMcpToolResponseToSdkMessageParam(mcpToolResponse, resp, model)
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}
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extractMessagesFromSdkPayload(sdkPayload: SdkParams): SdkMessageParam[] {
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return this.currentClient.extractMessagesFromSdkPayload(sdkPayload)
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}
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estimateMessageTokens(message: SdkMessageParam): number {
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return this.currentClient.estimateMessageTokens(message)
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}
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}
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@@ -0,0 +1,181 @@
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import {
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GenerateImageParams,
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MCPCallToolResponse,
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MCPTool,
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MCPToolResponse,
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Model,
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Provider,
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ToolCallResponse
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} from '@renderer/types'
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import {
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RequestOptions,
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SdkInstance,
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SdkMessageParam,
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SdkModel,
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SdkParams,
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SdkRawChunk,
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SdkRawOutput,
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SdkTool,
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SdkToolCall
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} from '@renderer/types/sdk'
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import { CompletionsContext } from '../middleware/types'
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import { AnthropicAPIClient } from './anthropic/AnthropicAPIClient'
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import { BaseApiClient } from './BaseApiClient'
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import { GeminiAPIClient } from './gemini/GeminiAPIClient'
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import { OpenAIAPIClient } from './openai/OpenAIApiClient'
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import { OpenAIResponseAPIClient } from './openai/OpenAIResponseAPIClient'
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import { RequestTransformer, ResponseChunkTransformer } from './types'
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/**
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* MixedAPIClient - 适用于可能含有多种接口类型的Provider
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*/
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export abstract class MixedBaseAPIClient extends BaseApiClient {
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// 使用联合类型而不是any，保持类型安全
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protected abstract clients: Map<
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string,
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AnthropicAPIClient | GeminiAPIClient | OpenAIResponseAPIClient | OpenAIAPIClient
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>
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protected abstract defaultClient: OpenAIAPIClient
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protected abstract currentClient: BaseApiClient
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constructor(provider: Provider) {
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super(provider)
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}
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override getBaseURL(): string {
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if (!this.currentClient) {
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return this.provider.apiHost
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}
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return this.currentClient.getBaseURL()
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}
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/**
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* 类型守卫：确保client是BaseApiClient的实例
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*/
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protected isValidClient(client: unknown): client is BaseApiClient {
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return (
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client !== null &&
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client !== undefined &&
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typeof client === 'object' &&
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'createCompletions' in client &&
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'getRequestTransformer' in client &&
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'getResponseChunkTransformer' in client
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)
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}
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/**
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* 根据模型获取合适的client
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*/
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protected abstract getClient(model: Model): BaseApiClient
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/**
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* 根据模型选择合适的client并委托调用
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*/
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public getClientForModel(model: Model): BaseApiClient {
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this.currentClient = this.getClient(model)
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return this.currentClient
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}
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/**
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* 重写基类方法，返回内部实际使用的客户端类型
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*/
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public override getClientCompatibilityType(model?: Model): string[] {
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if (!model) {
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return [this.constructor.name]
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}
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const actualClient = this.getClient(model)
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return actualClient.getClientCompatibilityType(model)
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}
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/**
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* 从SDK payload中提取模型ID
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*/
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protected extractModelFromPayload(payload: SdkParams): string | null {
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// 不同的SDK可能有不同的字段名
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if ('model' in payload && typeof payload.model === 'string') {
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return payload.model
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}
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return null
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}
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// ============ BaseApiClient 的抽象方法 ============
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async createCompletions(payload: SdkParams, options?: RequestOptions): Promise<SdkRawOutput> {
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// 尝试从payload中提取模型信息来选择client
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const modelId = this.extractModelFromPayload(payload)
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if (modelId) {
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const modelObj = { id: modelId } as Model
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const targetClient = this.getClient(modelObj)
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return targetClient.createCompletions(payload, options)
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}
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// 如果无法从payload中提取模型，使用当前设置的client
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return this.currentClient.createCompletions(payload, options)
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}
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async generateImage(params: GenerateImageParams): Promise<string[]> {
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return this.currentClient.generateImage(params)
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}
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async getEmbeddingDimensions(model?: Model): Promise<number> {
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const client = model ? this.getClient(model) : this.currentClient
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return client.getEmbeddingDimensions(model)
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}
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async listModels(): Promise<SdkModel[]> {
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// 可以聚合所有client的模型，或者使用默认client
|
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return this.defaultClient.listModels()
|
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}
|
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|
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async getSdkInstance(): Promise<SdkInstance> {
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return this.currentClient.getSdkInstance()
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}
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getRequestTransformer(): RequestTransformer<SdkParams, SdkMessageParam> {
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return this.currentClient.getRequestTransformer()
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}
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getResponseChunkTransformer(ctx: CompletionsContext): ResponseChunkTransformer<SdkRawChunk> {
|
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return this.currentClient.getResponseChunkTransformer(ctx)
|
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}
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|
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convertMcpToolsToSdkTools(mcpTools: MCPTool[]): SdkTool[] {
|
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return this.currentClient.convertMcpToolsToSdkTools(mcpTools)
|
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}
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convertSdkToolCallToMcp(toolCall: SdkToolCall, mcpTools: MCPTool[]): MCPTool | undefined {
|
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return this.currentClient.convertSdkToolCallToMcp(toolCall, mcpTools)
|
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}
|
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|
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convertSdkToolCallToMcpToolResponse(toolCall: SdkToolCall, mcpTool: MCPTool): ToolCallResponse {
|
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return this.currentClient.convertSdkToolCallToMcpToolResponse(toolCall, mcpTool)
|
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}
|
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|
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buildSdkMessages(
|
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currentReqMessages: SdkMessageParam[],
|
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output: SdkRawOutput | string,
|
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toolResults: SdkMessageParam[],
|
||||
toolCalls?: SdkToolCall[]
|
||||
): SdkMessageParam[] {
|
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return this.currentClient.buildSdkMessages(currentReqMessages, output, toolResults, toolCalls)
|
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}
|
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|
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estimateMessageTokens(message: SdkMessageParam): number {
|
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return this.currentClient.estimateMessageTokens(message)
|
||||
}
|
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|
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convertMcpToolResponseToSdkMessageParam(
|
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mcpToolResponse: MCPToolResponse,
|
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resp: MCPCallToolResponse,
|
||||
model: Model
|
||||
): SdkMessageParam | undefined {
|
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const client = this.getClient(model)
|
||||
return client.convertMcpToolResponseToSdkMessageParam(mcpToolResponse, resp, model)
|
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}
|
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|
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extractMessagesFromSdkPayload(sdkPayload: SdkParams): SdkMessageParam[] {
|
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return this.currentClient.extractMessagesFromSdkPayload(sdkPayload)
|
||||
}
|
||||
}
|
||||
@@ -1,42 +1,23 @@
|
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import { loggerService } from '@logger'
|
||||
import { isSupportedModel } from '@renderer/config/models'
|
||||
import {
|
||||
GenerateImageParams,
|
||||
MCPCallToolResponse,
|
||||
MCPTool,
|
||||
MCPToolResponse,
|
||||
Model,
|
||||
Provider,
|
||||
ToolCallResponse
|
||||
} from '@renderer/types'
|
||||
import {
|
||||
NewApiModel,
|
||||
RequestOptions,
|
||||
SdkInstance,
|
||||
SdkMessageParam,
|
||||
SdkParams,
|
||||
SdkRawChunk,
|
||||
SdkRawOutput,
|
||||
SdkTool,
|
||||
SdkToolCall
|
||||
} from '@renderer/types/sdk'
|
||||
import { Model, Provider } from '@renderer/types'
|
||||
import { NewApiModel } from '@renderer/types/sdk'
|
||||
|
||||
import { CompletionsContext } from '../middleware/types'
|
||||
import { AnthropicAPIClient } from './anthropic/AnthropicAPIClient'
|
||||
import { BaseApiClient } from './BaseApiClient'
|
||||
import { GeminiAPIClient } from './gemini/GeminiAPIClient'
|
||||
import { MixedBaseAPIClient } from './MixedBaseApiClient'
|
||||
import { OpenAIAPIClient } from './openai/OpenAIApiClient'
|
||||
import { OpenAIResponseAPIClient } from './openai/OpenAIResponseAPIClient'
|
||||
import { RequestTransformer, ResponseChunkTransformer } from './types'
|
||||
|
||||
const logger = loggerService.withContext('NewAPIClient')
|
||||
|
||||
export class NewAPIClient extends BaseApiClient {
|
||||
export class NewAPIClient extends MixedBaseAPIClient {
|
||||
// 使用联合类型而不是any，保持类型安全
|
||||
private clients: Map<string, AnthropicAPIClient | GeminiAPIClient | OpenAIResponseAPIClient | OpenAIAPIClient> =
|
||||
protected clients: Map<string, AnthropicAPIClient | GeminiAPIClient | OpenAIResponseAPIClient | OpenAIAPIClient> =
|
||||
new Map()
|
||||
private defaultClient: OpenAIAPIClient
|
||||
private currentClient: BaseApiClient
|
||||
protected defaultClient: OpenAIAPIClient
|
||||
protected currentClient: BaseApiClient
|
||||
|
||||
constructor(provider: Provider) {
|
||||
super(provider)
|
||||
@@ -63,24 +44,10 @@ export class NewAPIClient extends BaseApiClient {
|
||||
return this.currentClient.getBaseURL()
|
||||
}
|
||||
|
||||
/**
|
||||
* 类型守卫：确保client是BaseApiClient的实例
|
||||
*/
|
||||
private isValidClient(client: unknown): client is BaseApiClient {
|
||||
return (
|
||||
client !== null &&
|
||||
client !== undefined &&
|
||||
typeof client === 'object' &&
|
||||
'createCompletions' in client &&
|
||||
'getRequestTransformer' in client &&
|
||||
'getResponseChunkTransformer' in client
|
||||
)
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据模型获取合适的client
|
||||
*/
|
||||
private getClient(model: Model): BaseApiClient {
|
||||
protected getClient(model: Model): BaseApiClient {
|
||||
if (!model.endpoint_type) {
|
||||
throw new Error('Model endpoint type is not defined')
|
||||
}
|
||||
@@ -120,61 +87,6 @@ export class NewAPIClient extends BaseApiClient {
|
||||
throw new Error('Invalid model endpoint type: ' + model.endpoint_type)
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据模型选择合适的client并委托调用
|
||||
*/
|
||||
public getClientForModel(model: Model): BaseApiClient {
|
||||
this.currentClient = this.getClient(model)
|
||||
return this.currentClient
|
||||
}
|
||||
|
||||
/**
|
||||
* 重写基类方法，返回内部实际使用的客户端类型
|
||||
*/
|
||||
public override getClientCompatibilityType(model?: Model): string[] {
|
||||
if (!model) {
|
||||
return [this.constructor.name]
|
||||
}
|
||||
|
||||
const actualClient = this.getClient(model)
|
||||
return actualClient.getClientCompatibilityType(model)
|
||||
}
|
||||
|
||||
// ============ BaseApiClient 抽象方法实现 ============
|
||||
|
||||
async createCompletions(payload: SdkParams, options?: RequestOptions): Promise<SdkRawOutput> {
|
||||
// 尝试从payload中提取模型信息来选择client
|
||||
const modelId = this.extractModelFromPayload(payload)
|
||||
if (modelId) {
|
||||
const modelObj = { id: modelId } as Model
|
||||
const targetClient = this.getClient(modelObj)
|
||||
return targetClient.createCompletions(payload, options)
|
||||
}
|
||||
|
||||
// 如果无法从payload中提取模型，使用当前设置的client
|
||||
return this.currentClient.createCompletions(payload, options)
|
||||
}
|
||||
|
||||
/**
|
||||
* 从SDK payload中提取模型ID
|
||||
*/
|
||||
private extractModelFromPayload(payload: SdkParams): string | null {
|
||||
// 不同的SDK可能有不同的字段名
|
||||
if ('model' in payload && typeof payload.model === 'string') {
|
||||
return payload.model
|
||||
}
|
||||
return null
|
||||
}
|
||||
|
||||
async generateImage(params: GenerateImageParams): Promise<string[]> {
|
||||
return this.currentClient.generateImage(params)
|
||||
}
|
||||
|
||||
async getEmbeddingDimensions(model?: Model): Promise<number> {
|
||||
const client = model ? this.getClient(model) : this.currentClient
|
||||
return client.getEmbeddingDimensions(model)
|
||||
}
|
||||
|
||||
override async listModels(): Promise<NewApiModel[]> {
|
||||
try {
|
||||
const sdk = await this.defaultClient.getSdkInstance()
|
||||
@@ -195,54 +107,4 @@ export class NewAPIClient extends BaseApiClient {
|
||||
return []
|
||||
}
|
||||
}
|
||||
|
||||
async getSdkInstance(): Promise<SdkInstance> {
|
||||
return this.currentClient.getSdkInstance()
|
||||
}
|
||||
|
||||
getRequestTransformer(): RequestTransformer<SdkParams, SdkMessageParam> {
|
||||
return this.currentClient.getRequestTransformer()
|
||||
}
|
||||
|
||||
getResponseChunkTransformer(ctx: CompletionsContext): ResponseChunkTransformer<SdkRawChunk> {
|
||||
return this.currentClient.getResponseChunkTransformer(ctx)
|
||||
}
|
||||
|
||||
convertMcpToolsToSdkTools(mcpTools: MCPTool[]): SdkTool[] {
|
||||
return this.currentClient.convertMcpToolsToSdkTools(mcpTools)
|
||||
}
|
||||
|
||||
convertSdkToolCallToMcp(toolCall: SdkToolCall, mcpTools: MCPTool[]): MCPTool | undefined {
|
||||
return this.currentClient.convertSdkToolCallToMcp(toolCall, mcpTools)
|
||||
}
|
||||
|
||||
convertSdkToolCallToMcpToolResponse(toolCall: SdkToolCall, mcpTool: MCPTool): ToolCallResponse {
|
||||
return this.currentClient.convertSdkToolCallToMcpToolResponse(toolCall, mcpTool)
|
||||
}
|
||||
|
||||
buildSdkMessages(
|
||||
currentReqMessages: SdkMessageParam[],
|
||||
output: SdkRawOutput | string,
|
||||
toolResults: SdkMessageParam[],
|
||||
toolCalls?: SdkToolCall[]
|
||||
): SdkMessageParam[] {
|
||||
return this.currentClient.buildSdkMessages(currentReqMessages, output, toolResults, toolCalls)
|
||||
}
|
||||
|
||||
convertMcpToolResponseToSdkMessageParam(
|
||||
mcpToolResponse: MCPToolResponse,
|
||||
resp: MCPCallToolResponse,
|
||||
model: Model
|
||||
): SdkMessageParam | undefined {
|
||||
const client = this.getClient(model)
|
||||
return client.convertMcpToolResponseToSdkMessageParam(mcpToolResponse, resp, model)
|
||||
}
|
||||
|
||||
extractMessagesFromSdkPayload(sdkPayload: SdkParams): SdkMessageParam[] {
|
||||
return this.currentClient.extractMessagesFromSdkPayload(sdkPayload)
|
||||
}
|
||||
|
||||
estimateMessageTokens(message: SdkMessageParam): number {
|
||||
return this.currentClient.estimateMessageTokens(message)
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user