Files
automaker/.automaker/agents-context/feature-1765334243840-qmnc0ez5o.md
Kacper cfaadba3dc fix(kanban): resolve hardcoded model display in cards
- Fix model string validation in feature executor
- Remove hardcoded opus 4.5 references
- Update kanban card to show actual selected model
- Clean up completed feature contexts
- Standardize feature list with model/thinking fields

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
2025-12-10 03:50:17 +01:00

27 KiB

📋 Planning implementation for: So we added support for codex cli models but when we select them on model tab its still trying to use claude model there is some race condition in the code

1] [AutoMode] Running specific feature: feature-1765334118538-zc6n2ngu8 [1] [AutoMode] Running feature: For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureLoader] Created backup at /Users/shirone/Documents/Projekty/automaker/.automaker/feature_list.backup.json [1] [FeatureLoader] Updated feature feature-1765334118538-zc6n2ngu8: status=in_progress [1] [FeatureLoader] Successfully saved 13 features to feature_list.json [1] [FeatureExecutor] Implementing: For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] Phase: PLANNING for For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] getModelString: modelKey=gpt-5.1-codex, modelString=claude-opus-4-5-20251101 [1] [FeatureExecutor] Using provider: Codex/OpenAI, model: claude-opus-4-5-20251101, thinking: none [1] [FeatureExecutor] Phase: ACTION for For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] ERROR: Codex provider selected but Claude model string detected: claude-opus-4-5-20251101 [1] [FeatureExecutor] Feature model: gpt-5.1-codex, modelString: claude-opus-4-5-20251101 [1] [FeatureExecutor] Error implementing feature: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280) [1] [FeatureExecutor] Error details: { [1] message: "Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting.", [1] stack: "Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting.\n" + [1] ' at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17)\n' + [1] ' at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22)\n' + [1] ' at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12\n' + [1] ' at async Session. (node:electron/js2c/browser_init:2:107280)', [1] name: 'Error', [1] code: undefined, [1] model: 'not initialized', [1] provider: 'unknown', [1] isCodex: 'unknown' [1] } [1] [AutoMode] Error running feature: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280) [1] [IPC] auto-mode:run-feature error: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280)

Executing implementation for: So we added support for codex cli models but when we select them on model tab its still trying to use claude model there is some race condition in the code

1] [AutoMode] Running specific feature: feature-1765334118538-zc6n2ngu8 [1] [AutoMode] Running feature: For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureLoader] Created backup at /Users/shirone/Documents/Projekty/automaker/.automaker/feature_list.backup.json [1] [FeatureLoader] Updated feature feature-1765334118538-zc6n2ngu8: status=in_progress [1] [FeatureLoader] Successfully saved 13 features to feature_list.json [1] [FeatureExecutor] Implementing: For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] Phase: PLANNING for For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] getModelString: modelKey=gpt-5.1-codex, modelString=claude-opus-4-5-20251101 [1] [FeatureExecutor] Using provider: Codex/OpenAI, model: claude-opus-4-5-20251101, thinking: none [1] [FeatureExecutor] Phase: ACTION for For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] ERROR: Codex provider selected but Claude model string detected: claude-opus-4-5-20251101 [1] [FeatureExecutor] Feature model: gpt-5.1-codex, modelString: claude-opus-4-5-20251101 [1] [FeatureExecutor] Error implementing feature: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280) [1] [FeatureExecutor] Error details: { [1] message: "Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting.", [1] stack: "Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting.\n" + [1] ' at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17)\n' + [1] ' at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22)\n' + [1] ' at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12\n' + [1] ' at async Session. (node:electron/js2c/browser_init:2:107280)', [1] name: 'Error', [1] code: undefined, [1] model: 'not initialized', [1] provider: 'unknown', [1] isCodex: 'unknown' [1] } [1] [AutoMode] Error running feature: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280) [1] [IPC] auto-mode:run-feature error: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280)

Starting code implementation...

🔧 Tool: Read

🔧 Tool: Grep Let me read the model-registry.js file to understand how getModelString works there: 🔧 Tool: Read

🔧 Tool: Read Now I understand the issue! The problem is in feature-executor.js in the getModelString method. Let me trace through the logic:

  1. When modelKey = "gpt-5.1-codex", it calls ModelRegistry.getModelString(modelKey)
  2. In model-registry.js, getModelString looks up MODELS[modelId] and returns model.modelString
  3. However, looking at the flow more carefully, I see that ModelRegistry.getModelString('gpt-5.1-codex') should return 'gpt-5.1-codex' correctly since MODELS['gpt-5.1-codex'].modelString = 'gpt-5.1-codex'

But the log shows:

[FeatureExecutor] getModelString: modelKey=gpt-5.1-codex, modelString=claude-opus-4-5-20251101

Let me look at the getModelString in feature-executor.js more closely. The issue is the fallback logic:

// Use the registry for model lookup
let modelString = ModelRegistry.getModelString(modelKey);

// Fallback to MODEL_MAP if registry doesn't have it
if (!modelString || modelString === modelKey) {
  modelString = MODEL_MAP[modelKey];
}

// Final fallback to opus
if (!modelString) {
  modelString = MODEL_MAP.opus;
}

The problem is in line 42-44:

  • ModelRegistry.getModelString('gpt-5.1-codex') returns 'gpt-5.1-codex' (which is correct!)
  • But then the condition modelString === modelKey is TRUE (because both are 'gpt-5.1-codex')
  • So it falls through to MODEL_MAP[modelKey] which is MODEL_MAP['gpt-5.1-codex']
  • Since MODEL_MAP only has haiku, sonnet, and opus, it returns undefined
  • Then the final fallback if (!modelString) kicks in and returns MODEL_MAP.opus which is 'claude-opus-4-5-20251101'

This is the race condition / bug! The code assumes that if the modelString equals the modelKey, it means the registry didn't have a proper mapping. But for Codex models, the modelString IS the same as the modelKey (they're designed that way).

Let me fix this: 🔧 Tool: Edit The fix is in place. Now let me verify that the resumeFeatureWithContext method in the same file doesn't have a similar issue. Let me check if it uses the same getModelString method: 🔧 Tool: Read I see that resumeFeatureWithContext uses this.getModelString(feature) at line 562, which is the same method I just fixed. However, I notice that it's still using the Claude SDK query directly (line 616) instead of checking if it should use the Codex provider. Let me check the resumeFeatureWithContext method more thoroughly: 🔧 Tool: Grep Let me see more of the resumeFeatureWithContext method: 🔧 Tool: Read I see that resumeFeatureWithContext also doesn't check for Codex models - it always uses the Claude SDK query. This is the same issue as in implementFeature. Let me fix the resumeFeatureWithContext method to also support Codex models properly. First let me see the full method context to understand how to apply the fix: 🔧 Tool: Read Now I need to fix the resumeFeatureWithContext method to support Codex models. The fix should be similar to implementFeature: 🔧 Tool: Edit Input: { "file_path": "/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js", "old_string": " console.log([FeatureExecutor] Resuming with model: ${modelString}, thinking: ${feature.thinkingLevel || 'none'});\n\n const options = {\n model: modelString,\n systemPrompt: promptBuilder.getVerificationPrompt(),\n maxTurns: 1000,\n cwd: projectPath,\n mcpServers: {\n "automaker-tools": featureToolsServer\n },\n allowedTools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch", "mcp__automaker-tools__UpdateFeatureStatus"],\n permissionMode: "acceptEdits",\n sandbox: {\n enabled: true,\n autoAllowBashIfSandboxed: true,\n },\n abortController: abortController,\n };\n\n // Add thinking configuration if enabled\n if (thinkingConfig) {\n options.thinking = thinkingConfig;\n }\n\n // Build prompt with previous context\n const prompt = promptBuilder.buildResumePrompt(feature, previousContext);\n\n const currentQuery = query({ prompt, options });\n execution.query = currentQuery;", "new_string": " const isCodex = this.isCodexModel(feature);\n const providerName = isCodex ? 'Codex/OpenAI' : 'Claude';\n console.log([FeatureExecutor] Resuming with provider: ${providerName}, model: ${modelString}, thinking: ${feature.thinkingLevel || 'none'});\n\n const options = {\n model: modelString,\n systemPrompt: promptBuilder.getVerificationPrompt(),\n maxTurns: 1000,\n cwd: projectPath,\n mcpServers: {\n "automaker-tools": featureToolsServer\n },\n allowedTools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch", "mcp__automaker-tools__UpdateFeatureStatus"],\n permissionMode: "acceptEdits",\n sandbox: {\n enabled: true,\n autoAllowBashIfSandboxed: true,\n },\n abortController: abortController,\n };\n\n // Add thinking configuration if enabled\n if (thinkingConfig) {\n options.thinking = thinkingConfig;\n }\n\n // Build prompt with previous context\n const prompt = promptBuilder.buildResumePrompt(feature, previousContext);\n\n // Use appropriate provider based on model type\n let currentQuery;\n if (isCodex) {\n // Validate that model string is actually a Codex model\n if (modelString.startsWith('claude-')) {\n console.error([FeatureExecutor] ERROR: Codex provider selected but Claude model string detected: ${modelString});\n throw new Error(Invalid model configuration: Codex provider cannot use Claude model '${modelString}'. Please check feature model setting.);\n }\n\n console.log([FeatureExecutor] Using Codex provider for resume with model: ${modelString});\n const provider = this.getProvider(feature);\n currentQuery = provider.executeQuery({\n prompt,\n model: modelString,\n cwd: projectPath,\n systemPrompt: promptBuilder.getVerificationPrompt(),\n maxTurns: 20,\n allowedTools: options.allowedTools,\n abortController: abortController,\n env: {\n OPENAI_API_KEY: process.env.OPENAI_API_KEY\n }\n });\n } else {\n // Use Claude SDK\n currentQuery = query({ prompt, options });\n }\n execution.query = currentQuery;" }Now let me verify the complete file is syntactically correct by reading key sections: 🔧 Tool: Bash Input: { "command": "node -c app/electron/services/feature-executor.js 2>&1", "description": "Check JS syntax of feature-executor.js" }The syntax check passed (no output means no errors). Let me also verify the model-registry.js is correct: 🔧 Tool: Bash Input: { "command": "node -c app/electron/services/model-registry.js 2>&1", "description": "Check JS syntax of model-registry.js" }Now let me verify the fix by reading the relevant parts of the file to ensure the logic is correct: 🔧 Tool: Read Input: { "file_path": "/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js", "offset": 31, "limit": 50 }The fix looks correct. Let me create a simple test script to verify the logic works correctly: 🔧 Tool: Bash Input: { "command": "node -e "\nconst { ModelRegistry } = require('./app/electron/services/model-registry.js');\n\n// Test Codex model detection\nconsole.log('Testing Codex model detection:');\nconsole.log('gpt-5.1-codex is Codex:', ModelRegistry.isCodexModel('gpt-5.1-codex'));\nconsole.log('gpt-5.1-codex-max is Codex:', ModelRegistry.isCodexModel('gpt-5.1-codex-max'));\nconsole.log('opus is Codex:', ModelRegistry.isCodexModel('opus'));\nconsole.log('haiku is Codex:', ModelRegistry.isCodexModel('haiku'));\n\nconsole.log('');\nconsole.log('Testing model string lookup:');\nconsole.log('gpt-5.1-codex string:', ModelRegistry.getModelString('gpt-5.1-codex'));\nconsole.log('gpt-5.1-codex-max string:', ModelRegistry.getModelString('gpt-5.1-codex-max'));\nconsole.log('opus string:', ModelRegistry.getModelString('opus'));\nconsole.log('haiku string:', ModelRegistry.getModelString('haiku'));\n\nconsole.log('');\nconsole.log('Testing getModel:');\nconst codexModel = ModelRegistry.getModel('gpt-5.1-codex');\nconsole.log('gpt-5.1-codex model:', codexModel ? codexModel.modelString : 'NOT FOUND');\n"", "description": "Test model registry functions" }Excellent! The model registry is working correctly. Now let me test the feature-executor's getModelString method to make sure the fix works: 🔧 Tool: Bash Input: { "command": "node -e "\nconst featureExecutor = require('./app/electron/services/feature-executor.js');\n\nconsole.log('Testing getModelString with Codex features:');\nconsole.log('');\n\n// Test with Codex model\nconst codexFeature = { model: 'gpt-5.1-codex', description: 'Test' };\nconst codexResult = featureExecutor.getModelString(codexFeature);\nconsole.log('gpt-5.1-codex result:', codexResult);\nconsole.log('Expected: gpt-5.1-codex');\nconsole.log('Correct:', codexResult === 'gpt-5.1-codex');\n\nconsole.log('');\n\n// Test with Codex Max model\nconst codexMaxFeature = { model: 'gpt-5.1-codex-max', description: 'Test' };\nconst codexMaxResult = featureExecutor.getModelString(codexMaxFeature);\nconsole.log('gpt-5.1-codex-max result:', codexMaxResult);\nconsole.log('Expected: gpt-5.1-codex-max');\nconsole.log('Correct:', codexMaxResult === 'gpt-5.1-codex-max');\n\nconsole.log('');\n\n// Test with Claude model (should still work)\nconst claudeFeature = { model: 'opus', description: 'Test' };\nconst claudeResult = featureExecutor.getModelString(claudeFeature);\nconsole.log('opus result:', claudeResult);\nconsole.log('Expected: claude-opus-4-5-20251101');\nconsole.log('Correct:', claudeResult === 'claude-opus-4-5-20251101');\n\nconsole.log('');\n\n// Test with Haiku model\nconst haikuFeature = { model: 'haiku', description: 'Test' };\nconst haikuResult = featureExecutor.getModelString(haikuFeature);\nconsole.log('haiku result:', haikuResult);\nconsole.log('Expected: claude-haiku-4-5');\nconsole.log('Correct:', haikuResult === 'claude-haiku-4-5');\n\nconsole.log('');\nconsole.log('Summary:');\nconsole.log('All tests passed:', \n codexResult === 'gpt-5.1-codex' && \n codexMaxResult === 'gpt-5.1-codex-max' && \n claudeResult === 'claude-opus-4-5-20251101' &&\n haikuResult === 'claude-haiku-4-5'\n);\n"", "description": "Test feature executor getModelString" }All tests pass. The fix is working correctly. Let me now update the feature status: 🔧 Tool: mcp__automaker-tools__UpdateFeatureStatus Input: { "featureId": "feature-1765334243840-qmnc0ez5o", "status": "verified", "summary": "Fixed race condition in Codex model selection. Modified: feature-executor.js. The getModelString() method was incorrectly falling back to Claude opus model when Codex models were selected because it checked if modelString === modelKey (which is true for Codex). Fixed by checking isCodexModel() first and using the registry directly for Codex models. Also updated resumeFeatureWithContext() to properly use Codex provider when needed." }The feature has been implemented and marked for manual review. Here's a summary of what was fixed:

Summary of Changes

File Modified: app/electron/services/feature-executor.js

Problem

When a Codex model (e.g., gpt-5.1-codex) was selected in the model tab, the getModelString() method was incorrectly returning the Claude opus model string (claude-opus-4-5-20251101) instead of the Codex model string.

Root Cause

The old getModelString() logic had this flow:

  1. Get modelString from ModelRegistry.getModelString(modelKey)
  2. If modelString === modelKey, fall back to MODEL_MAP[modelKey]
  3. If that's also empty, fall back to MODEL_MAP.opus

For Codex models, the registry returns the same string as the key (e.g., 'gpt-5.1-codex''gpt-5.1-codex'), which triggered condition #2. Since MODEL_MAP only has Claude models, it returned undefined, triggering condition #3 which returned the Claude opus model.

Fix

  1. getModelString(): Now checks ModelRegistry.isCodexModel(modelKey) first. If it's a Codex model, it directly looks up the model in the registry and returns its modelString. This avoids the problematic fallback logic.

  2. resumeFeatureWithContext(): Also updated to properly use the Codex provider when resuming a feature with a Codex model, similar to how implementFeature() already does.

Verification

Tested the fix with a Node.js script that confirmed:

  • gpt-5.1-codex → returns 'gpt-5.1-codex'
  • gpt-5.1-codex-max → returns 'gpt-5.1-codex-max'
  • opus → returns 'claude-opus-4-5-20251101'
  • haiku → returns 'claude-haiku-4-5' Verifying implementation for: So we added support for codex cli models but when we select them on model tab its still trying to use claude model there is some race condition in the code

1] [AutoMode] Running specific feature: feature-1765334118538-zc6n2ngu8 [1] [AutoMode] Running feature: For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureLoader] Created backup at /Users/shirone/Documents/Projekty/automaker/.automaker/feature_list.backup.json [1] [FeatureLoader] Updated feature feature-1765334118538-zc6n2ngu8: status=in_progress [1] [FeatureLoader] Successfully saved 13 features to feature_list.json [1] [FeatureExecutor] Implementing: For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] Phase: PLANNING for For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] getModelString: modelKey=gpt-5.1-codex, modelString=claude-opus-4-5-20251101 [1] [FeatureExecutor] Using provider: Codex/OpenAI, model: claude-opus-4-5-20251101, thinking: none [1] [FeatureExecutor] Phase: ACTION for For example i got haiku model running or codex one but we can still see opus 4.5 check if it not hardcoded and fix it to use proper model name that was used in this task [1] [FeatureExecutor] ERROR: Codex provider selected but Claude model string detected: claude-opus-4-5-20251101 [1] [FeatureExecutor] Feature model: gpt-5.1-codex, modelString: claude-opus-4-5-20251101 [1] [FeatureExecutor] Error implementing feature: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280) [1] [FeatureExecutor] Error details: { [1] message: "Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting.", [1] stack: "Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting.\n" + [1] ' at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17)\n' + [1] ' at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22)\n' + [1] ' at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12\n' + [1] ' at async Session. (node:electron/js2c/browser_init:2:107280)', [1] name: 'Error', [1] code: undefined, [1] model: 'not initialized', [1] provider: 'unknown', [1] isCodex: 'unknown' [1] } [1] [AutoMode] Error running feature: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280) [1] [IPC] auto-mode:run-feature error: Error: Invalid model configuration: Codex provider cannot use Claude model 'claude-opus-4-5-20251101'. Please check feature model setting. [1] at FeatureExecutor.implementFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/services/feature-executor.js:303:17) [1] at async AutoModeService.runFeature (/Users/shirone/Documents/Projekty/automaker/app/electron/auto-mode-service.js:142:22) [1] at async /Users/shirone/Documents/Projekty/automaker/app/electron/main.js:421:12 [1] at async Session. (node:electron/js2c/browser_init:2:107280)

Verifying implementation and checking test results... ✓ Verification successful: All tests passed

Task completed: Let me read the model-registry.js file to understand how getModelString works there:Now I understand the issue! The problem is in feature-executor.js in the getModelString method. Let me trace through the logic:

  1. When modelKey = "gpt-5.1-codex", it calls ModelRegistry.getModelString(modelKey)
  2. In model-registry.js, getModelString looks up MODELS[modelId] and returns model.modelString
  3. However, looking at the flow more carefully, I see that `ModelRegistry.getModelString('