The issue was that ALL OpenCode models were showing the OpenCode icon, regardless
of their actual underlying provider. This fix ensures each model shows its
authentic brand icon.
Changes:
1. **model-constants.ts** - Fixed provider field assignment
- Changed provider from hardcoded 'opencode' to actual config.provider
- Now correctly maps: opencode/big-pickle, amazon-bedrock/anthropic.*, etc.
2. **phase-model-selector.tsx** - Added provider-specific icon logic
- Added imports for DeepSeekIcon, NovaIcon, QwenIcon, MistralIcon, MetaIcon
- Added ProviderIcon selector based on model.provider field
- Each model type now displays its correct provider icon
3. **provider-icon.tsx** - Updated icon detection and mapping
- Enhanced getUnderlyingModelIcon() to detect specific Bedrock providers:
* amazon-bedrock/anthropic.* → anthropic icon
* amazon-bedrock/deepseek.* → deepseek icon
* amazon-bedrock/nova.* → nova icon
* amazon-bedrock/meta.* or llama → meta icon
* amazon-bedrock/mistral.* → mistral icon
* amazon-bedrock/qwen.* → qwen icon
* opencode/* → opencode icon
- Added meta and mistral to PROVIDER_ICON_KEYS
- Added placeholder definitions for meta/mistral in PROVIDER_ICON_DEFINITIONS
- Updated iconMap to include all provider icons
- Set OpenCode icon to official brand color (#6366F1 indigo)
Result: All model selectors and kanban cards now show correct brand icons
for each OpenCode model (DeepSeek whale, Amazon Nova sparkle, Qwen star, etc.)
- Bumped version numbers for @automaker/server and @automaker/ui to 0.9.0 in package-lock.json.
- Introduced CodexAppServerService and CodexModelCacheService to manage communication with the Codex CLI's app-server and cache model data.
- Updated CodexUsageService to utilize app-server for fetching usage data.
- Enhanced Codex routes to support fetching available models and integrated model caching.
- Improved UI components to dynamically load and display Codex models, including error handling and loading states.
- Added new API methods for fetching Codex models and integrated them into the app store for state management.
These changes improve the overall functionality and user experience of the Codex integration, ensuring efficient model management and data retrieval.
- Implemented a collapsible dropdown for navigation items in the settings view, allowing users to expand or collapse sub-items.
- Added local storage functionality to remember the open/closed state of the dropdown across sessions.
- Updated the styling and interaction logic for improved user experience and accessibility.
These changes improve the organization of navigation items and enhance user interaction within the settings view.
* memory
* feat: add smart memory selection with task context
- Add taskContext parameter to loadContextFiles for intelligent file selection
- Memory files are scored based on tag matching with task keywords
- Category name matching (e.g., "terminals" matches terminals.md) with 4x weight
- Usage statistics influence scoring (files that helped before rank higher)
- Limit to top 5 files + always include gotchas.md
- Auto-mode passes feature title/description as context
- Chat sessions pass user message as context
This prevents loading 40+ memory files and killing context limits.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* refactor: enhance auto-mode service and context loader
- Improved context loading by adding task context for better memory selection.
- Updated JSON parsing logic to handle various formats and ensure robust error handling.
- Introduced file locking mechanisms to prevent race conditions during memory file updates.
- Enhanced metadata handling in memory files, including validation and sanitization.
- Refactored scoring logic for context files to improve selection accuracy based on task relevance.
These changes optimize memory file management and enhance the overall performance of the auto-mode service.
* refactor: enhance learning extraction and formatting in auto-mode service
- Improved the learning extraction process by refining the user prompt to focus on meaningful insights and structured JSON output.
- Updated the LearningEntry interface to include additional context fields for better documentation of decisions and patterns.
- Enhanced the formatLearning function to adopt an Architecture Decision Record (ADR) style, providing richer context for recorded learnings.
- Added detailed logging for better traceability during the learning extraction and appending processes.
These changes aim to improve the quality and clarity of learnings captured during the auto-mode service's operation.
* feat: integrate stripProviderPrefix utility for model ID handling
- Added stripProviderPrefix utility to various routes to ensure providers receive bare model IDs.
- Updated model references in executeQuery calls across multiple files, enhancing consistency in model ID handling.
- Introduced memoryExtractionModel in settings for improved learning extraction tasks.
These changes streamline the model ID processing and enhance the overall functionality of the provider interactions.
* feat: enhance error handling and server offline management in board actions
- Improved error handling in the handleRunFeature and handleStartImplementation functions to throw errors for better caller management.
- Integrated connection error detection and server offline handling, redirecting users to the login page when the server is unreachable.
- Updated follow-up feature logic to include rollback mechanisms and improved user feedback for error scenarios.
These changes enhance the robustness of the board actions by ensuring proper error management and user experience during server connectivity issues.
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: webdevcody <webdevcody@gmail.com>
- Added OpenCode model selection to AddFeatureDialog and EditFeatureDialog.
- Introduced ProfileTypeahead component for improved profile selection.
- Updated model constants to include OpenCode models and integrated them into the PhaseModelSelector.
- Enhanced planning mode options with new UI elements for OpenCode.
- Refactored existing components to streamline model handling and improve user experience.
This commit expands the functionality of the feature dialogs, allowing users to select and manage OpenCode models effectively.
- Add ReasoningEffortSelector component for UI selection
- Integrate reasoning effort in feature creation/editing dialogs
- Add reasoning effort support to phase model selector
- Update agent service and board actions to handle reasoning effort
- Add reasoning effort fields to feature and settings types
- Update model selector and agent info panel with reasoning effort display
- Enhance agent context parser for reasoning effort processing
Reasoning effort allows fine-tuned control over Codex model reasoning
capabilities, providing options from 'none' to 'xhigh' for different
task complexity requirements.
- Migrated settings persistence from localStorage to an API-first approach, ensuring consistency between Electron and web modes.
- Introduced `useSettingsSync` hook for automatic synchronization of settings to the server with debouncing.
- Enhanced feature update logic to track description changes with a history, allowing for better management of feature descriptions.
- Updated various components and services to utilize the new settings structure and description history functionality.
- Removed persist middleware from Zustand store, streamlining state management and improving performance.
- Updated imports and references from 'phase-models' to 'model-defaults' across various components.
- Removed obsolete phase models index file to streamline the codebase.
