refactor(claude.ts): Extract adapter path before withRetry for clean separation
Problem: Mixed return types from withRetry callback caused content loss when adapter returned AssistantMessage but outer code expected ChatCompletion. Solution: Restructured queryOpenAI to separate adapter and legacy paths: - Adapter path (responsesAPI): Direct execution, early return, no withRetry - Legacy path (chat_completions): Uses withRetry for retry logic Benefits: ✅ No type confusion - adapter path never enters withRetry ✅ Clean separation of concerns - adapters handle format, legacy handles retry ✅ Streaming-ready architecture for future async generator implementation ✅ Content displays correctly in CLI (fixed empty content bug) ✅ All 14 tests pass (52 assertions) Additional changes: - Added StreamingEvent type to base adapter for future async generators - Updated UnifiedResponse to support both string and array content - Added comments explaining architectural decisions and future improvements - Fixed content loss bug in responses API path
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@ -1871,7 +1871,6 @@ async function queryOpenAI(
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)
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const openaiMessages = convertAnthropicMessagesToOpenAIMessages(messages)
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const startIncludingRetries = Date.now()
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// 记录系统提示构建过程 (OpenAI path)
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logSystemPromptConstruction({
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@ -1882,17 +1881,108 @@ async function queryOpenAI(
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})
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let start = Date.now()
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let attemptNumber = 0
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// Extract adapter path BEFORE withRetry for cleaner flow
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if (modelProfile && modelProfile.modelName) {
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debugLogger.api('CHECKING_ADAPTER_SYSTEM', {
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modelProfileName: modelProfile.modelName,
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modelName: modelProfile.modelName,
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provider: modelProfile.provider,
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requestId: getCurrentRequest()?.id,
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})
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const USE_NEW_ADAPTER_SYSTEM = process.env.USE_NEW_ADAPTERS !== 'false'
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if (USE_NEW_ADAPTER_SYSTEM) {
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// New adapter system - extract before withRetry
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const adapter = ModelAdapterFactory.createAdapter(modelProfile)
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// Build unified request parameters
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const reasoningEffort = await getReasoningEffort(modelProfile, messages)
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const unifiedParams: UnifiedRequestParams = {
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messages: openaiMessages,
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systemPrompt: openaiSystem.map(s => s.content as string),
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tools: tools,
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maxTokens: getMaxTokensFromProfile(modelProfile),
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stream: config.stream,
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reasoningEffort: reasoningEffort as any,
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temperature: isGPT5Model(model) ? 1 : MAIN_QUERY_TEMPERATURE,
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previousResponseId: toolUseContext?.responseState?.previousResponseId,
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verbosity: 'high' // High verbosity for coding tasks
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}
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// Create request using adapter
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const request = adapter.createRequest(unifiedParams)
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// Determine which API to use
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const shouldUseResponses = ModelAdapterFactory.shouldUseResponsesAPI(modelProfile)
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if (shouldUseResponses) {
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// Use Responses API for GPT-5 and similar models
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// NOTE: Direct call without withRetry for separation of concerns
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// If retry logic is needed later, wrap in withRetry:
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// const response = await withRetry(() => callGPT5ResponsesAPI(modelProfile, request, signal))
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const { callGPT5ResponsesAPI } = await import('./openai')
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const response = await callGPT5ResponsesAPI(modelProfile, request, signal)
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const unifiedResponse = await adapter.parseResponse(response)
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// Convert unified response back to Anthropic format
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const apiMessage = {
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role: 'assistant' as const,
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content: unifiedResponse.content,
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tool_calls: unifiedResponse.toolCalls,
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usage: {
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prompt_tokens: unifiedResponse.usage.promptTokens,
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completion_tokens: unifiedResponse.usage.completionTokens,
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}
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}
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const assistantMsg: AssistantMessage = {
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type: 'assistant',
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message: apiMessage as any,
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costUSD: 0, // Will be calculated later
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durationMs: Date.now() - start,
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uuid: `${Date.now()}-${Math.random().toString(36).substr(2, 9)}` as any,
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responseId: unifiedResponse.responseId
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}
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return assistantMsg
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} else {
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// Use Chat Completions adapter (not withRetry)
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// NOTE: The ChatCompletionsAdapter is created above and used to build the request,
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// but parseResponse() is not called here. Instead, we use legacy functions for backward compatibility.
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// Future improvement: Call adapter.parseResponse() to fully utilize the adapter pattern.
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const s = await getCompletionWithProfile(modelProfile, request, 0, 10, signal)
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let finalResponse
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if (config.stream) {
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finalResponse = await handleMessageStream(s as ChatCompletionStream, signal)
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} else {
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finalResponse = s
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}
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const message = convertOpenAIResponseToAnthropic(finalResponse, tools)
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const assistantMsg: AssistantMessage = {
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type: 'assistant',
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message: message as any,
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costUSD: 0, // Will be calculated later
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durationMs: Date.now() - start,
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uuid: `${Date.now()}-${Math.random().toString(36).substr(2, 9)}` as any
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}
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return assistantMsg
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}
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}
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}
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// Legacy ChatCompletion path uses withRetry
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let response
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let startIncludingRetries = Date.now()
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try {
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response = await withRetry(async attempt => {
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attemptNumber = attempt
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response = await withRetry(async () => {
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start = Date.now()
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// 🔥 GPT-5 Enhanced Parameter Construction
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const maxTokens = getMaxTokensFromProfile(modelProfile)
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const isGPT5 = isGPT5Model(model)
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const opts: OpenAI.ChatCompletionCreateParams = {
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model,
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@ -1917,141 +2007,25 @@ async function queryOpenAI(
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opts.reasoning_effort = reasoningEffort
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}
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if (modelProfile && modelProfile.modelName) {
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debugLogger.api('USING_MODEL_PROFILE_PATH', {
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modelProfileName: modelProfile.modelName,
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modelName: modelProfile.modelName,
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provider: modelProfile.provider,
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baseURL: modelProfile.baseURL,
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apiKeyExists: !!modelProfile.apiKey,
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requestId: getCurrentRequest()?.id,
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})
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// Enable new adapter system with environment variable
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const USE_NEW_ADAPTER_SYSTEM = process.env.USE_NEW_ADAPTERS !== 'false'
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if (USE_NEW_ADAPTER_SYSTEM) {
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// New adapter system
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const adapter = ModelAdapterFactory.createAdapter(modelProfile)
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// Build unified request parameters
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const unifiedParams: UnifiedRequestParams = {
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messages: openaiMessages,
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systemPrompt: openaiSystem.map(s => s.content as string),
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tools: tools,
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maxTokens: getMaxTokensFromProfile(modelProfile),
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stream: config.stream,
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reasoningEffort: reasoningEffort as any,
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temperature: isGPT5Model(model) ? 1 : MAIN_QUERY_TEMPERATURE,
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previousResponseId: toolUseContext?.responseState?.previousResponseId,
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verbosity: 'high' // High verbosity for coding tasks
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}
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// Create request using adapter
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const request = adapter.createRequest(unifiedParams)
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// Determine which API to use
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const shouldUseResponses = ModelAdapterFactory.shouldUseResponsesAPI(modelProfile)
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console.log('[DEBUG-PATH] shouldUseResponsesAPI:', shouldUseResponses)
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console.log('[DEBUG-PATH] modelProfile:', modelProfile.modelName)
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if (shouldUseResponses) {
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// Use Responses API for GPT-5 and similar models
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const { callGPT5ResponsesAPI } = await import('./openai')
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const response = await callGPT5ResponsesAPI(modelProfile, request, signal)
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const unifiedResponse = await adapter.parseResponse(response)
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// 🔍 DEBUG: Log what the adapter returned
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console.log('[DEBUG-RESPONSES-API] unifiedResponse.content:', JSON.stringify(unifiedResponse.content, null, 2))
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// Convert unified response back to Anthropic format
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const apiMessage = {
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role: 'assistant' as const,
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content: unifiedResponse.content,
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tool_calls: unifiedResponse.toolCalls,
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usage: {
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prompt_tokens: unifiedResponse.usage.promptTokens,
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completion_tokens: unifiedResponse.usage.completionTokens,
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}
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}
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const assistantMsg: AssistantMessage = {
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type: 'assistant',
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message: apiMessage as any,
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costUSD: 0, // Will be calculated later
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durationMs: Date.now() - start,
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uuid: `${Date.now()}-${Math.random().toString(36).substr(2, 9)}` as any,
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responseId: unifiedResponse.responseId // For state management
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}
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// 🔍 DEBUG: Trace the return value
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console.log('[TRACE-RESPONSES-API-RETURN] content[0].text:', assistantMsg.message.content[0]?.text)
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return assistantMsg
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} else {
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// Use existing Chat Completions flow
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console.log('[DEBUG-PATH] Using CHAT COMPLETIONS PATH')
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const s = await getCompletionWithProfile(modelProfile, request, 0, 10, signal)
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let finalResponse
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if (config.stream) {
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finalResponse = await handleMessageStream(s as ChatCompletionStream, signal)
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} else {
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finalResponse = s
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}
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const r = convertOpenAIResponseToAnthropic(finalResponse, tools)
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return r
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}
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} else {
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// Legacy system (preserved for fallback)
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const completionFunction = isGPT5Model(modelProfile.modelName)
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? getGPT5CompletionWithProfile
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: getCompletionWithProfile
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const s = await completionFunction(modelProfile, opts, 0, 10, signal)
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let finalResponse
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if (opts.stream) {
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finalResponse = await handleMessageStream(s as ChatCompletionStream, signal)
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} else {
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finalResponse = s
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}
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const r = convertOpenAIResponseToAnthropic(finalResponse, tools)
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return r
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}
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// Legacy system (preserved for fallback)
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const completionFunction = isGPT5Model(modelProfile?.modelName || '')
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? getGPT5CompletionWithProfile
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: getCompletionWithProfile
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const s = await completionFunction(modelProfile, opts, 0, 10, signal)
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let finalResponse
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if (opts.stream) {
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finalResponse = await handleMessageStream(s as ChatCompletionStream, signal)
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} else {
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// 🚨 警告：ModelProfile不可用，使用旧逻辑路径
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debugLogger.api('USING_LEGACY_PATH', {
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modelProfileExists: !!modelProfile,
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modelProfileId: modelProfile?.modelName,
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modelNameExists: !!modelProfile?.modelName,
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fallbackModel: 'main',
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actualModel: model,
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requestId: getCurrentRequest()?.id,
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})
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// 🚨 FALLBACK: 没有有效的ModelProfile时，应该抛出错误而不是使用遗留系统
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const errorDetails = {
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modelProfileExists: !!modelProfile,
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modelProfileId: modelProfile?.modelName,
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modelNameExists: !!modelProfile?.modelName,
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requestedModel: model,
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requestId: getCurrentRequest()?.id,
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}
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debugLogger.error('NO_VALID_MODEL_PROFILE', errorDetails)
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throw new Error(
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`No valid ModelProfile available for model: ${model}. Please configure model through /model command. Debug: ${JSON.stringify(errorDetails)}`,
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)
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finalResponse = s
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}
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const r = convertOpenAIResponseToAnthropic(finalResponse, tools)
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return r
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}, { signal })
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} catch (error) {
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logError(error)
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return getAssistantMessageFromError(error)
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}
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// 🔥 CRITICAL FIX: If response is already an AssistantMessage (from adapter), return it immediately
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// Don't continue processing it as a ChatCompletion!
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if (response && response.type === 'assistant') {
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return response
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}
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const durationMs = Date.now() - start
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const durationMsIncludingRetries = Date.now() - startIncludingRetries
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