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.)
This commit integrates OpenCode as a new AI provider and updates all provider
icons with their official brand colors for better visual recognition.
**OpenCode Provider Integration:**
- Add OpencodeProvider class with CLI-based execution
- Support for OpenCode native models (opencode/) and Bedrock models
- Proper event normalization for OpenCode streaming format
- Correct CLI arguments: --format json (not stream-json)
- Event structure: type, part.text, sessionID fields
**Provider Icons:**
- Add official OpenCode icon (white square frame from opencode.ai)
- Add DeepSeek icon (blue whale #4D6BFE)
- Add Qwen icon (purple gradient #6336E7 → #6F69F7)
- Add Amazon Nova icon (AWS orange #FF9900)
- Add Mistral icon (rainbow gradient gold→red)
- Add Meta icon (blue #1877F2)
- Update existing icons with brand colors:
* Claude: #d97757 (terra cotta)
* OpenAI/Codex: #74aa9c (teal-green)
* Cursor: #5E9EFF (bright blue)
**Settings UI Updates:**
- Update settings navigation to show OpenCode icon
- Update model configuration to use provider-specific icons
- Differentiate between OpenCode free models and Bedrock-hosted models
- All AI models now display their official brand logos
**Model Resolution:**
- Add isOpencodeModel() function to detect OpenCode models
- Support patterns: opencode/, opencode-*, amazon-bedrock/*
- Update getProviderFromModel to recognize opencode provider
Note: Some unit tests in opencode-provider.test.ts need updating to match
the new event structure and CLI argument format.
- Eliminated CodexCreditsSnapshot interface and related logic from CodexUsageService and UI components.
- Updated CodexUsageSection to display only plan type, removing credits information for a cleaner interface.
- Streamlined Codex usage formatting functions by removing unused credit formatting logic.
These changes simplify the Codex usage management by focusing on plan types, enhancing clarity and maintainability.
- 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.
- Deleted the AI profile management feature, including all associated views, hooks, and types.
- Updated settings and navigation components to remove references to AI profiles.
- Adjusted local storage and settings synchronization logic to reflect the removal of AI profiles.
- Cleaned up tests and utility functions that were dependent on the AI profile feature.
These changes streamline the application by eliminating unused functionality, improving maintainability and reducing complexity.
- Refactored the global navigation structure to group settings items into distinct categories for improved organization and usability.
- Updated the settings navigation component to render these groups dynamically, enhancing the user experience.
- Changed the default initial view in the settings hook to 'model-defaults' for better alignment with the new navigation structure.
These changes streamline navigation and make it easier for users to find relevant settings.
- 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.
- Added WorkModeSelector component to allow users to choose between 'current', 'auto', and 'custom' work modes for feature management.
- Updated AddFeatureDialog and EditFeatureDialog to utilize the new work mode functionality, replacing the previous branch selector logic.
- Enhanced useBoardActions hook to handle branch name generation based on the selected work mode.
- Adjusted settings to default to using worktrees, improving the overall feature creation experience.
These changes streamline the feature management process by providing clearer options for branch handling and worktree isolation.
* 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>
- Combined CLI disconnection markers with OpenCode support
- Added OpenCode auth/deauth routes and API methods
- Resolved merge conflicts between feature branch and upstream v0.9.0rc
- Fix Claude, Codex, and Cursor auth handlers to check if CLI is already authenticated
- Use same detection logic as each provider's internal checkAuth/codexAuthIndicators()
- For Codex: Check for API keys and auth files before requiring manual login
- For Cursor: Check for env var and credentials files before requiring manual auth
- For Claude: Check for cached auth tokens, settings, and credentials files
- If CLI is already authenticated: Just reconnect by removing disconnected marker
- If CLI needs auth: Tell user to manually run login command
- This prevents timeout errors when login commands can't run in non-interactive mode
- 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.
Resolved conflict in agent-service.ts by keeping both:
- agents parameter for custom subagents (from our branch)
- thinkingLevel and reasoningEffort parameters (from v0.9.0rc)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add 'codex-' prefix to all Codex CLI model IDs
- Add 'cursor-' prefix to Cursor CLI GPT model IDs
- Update provider-utils.ts to use prefix-based matching
- Update UI components to use prefixed model IDs
- Fix model routing to prevent Cursor picking up Codex models
- Remove SANDBOX_OPTIONS and APPROVAL_OPTIONS from codex-settings.tsx
- Remove Select components for sandbox mode and approval policy
- Remove codexSandboxMode and codexApprovalPolicy from CodexSettingsProps interface
- Update codex-settings-tab.tsx to pass only simplified props
- Codex now always runs with full permissions (--dangerously-bypass-approvals-and-sandbox)
The UI no longer shows sandbox or approval settings since Codex always uses full permissions.
- 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.
- Added a new utility for checking Codex CLI authentication status using the 'codex login status' command.
- Integrated the authentication check into the CodexProvider's installation detection and authentication methods.
- Updated Codex CLI status display in the UI to reflect authentication status and method.
- Enhanced error handling and logging for better debugging during authentication checks.
- Refactored related components to ensure consistent handling of authentication across the application.
- Changed SameSite attribute for session cookies from 'strict' to 'lax' to allow cross-origin fetches, improving compatibility with various client requests.
- Updated cookie clearing logic in the authentication route to use `res.cookie()` for better reliability in cross-origin environments.
- Refactored the login view to implement a state machine for managing authentication phases, enhancing clarity and maintainability.
- Introduced a new logged-out view to inform users of session expiration and provide options to log in or retry.
- Added account and security sections to the settings view, allowing users to manage their account and security preferences more effectively.
- Introduced a new method to check Codex authentication status, allowing for better handling of API keys and OAuth tokens.
- Updated API key management to include OpenAI, enabling users to manage their keys more effectively.
- Enhanced the CodexProvider to support session ID tracking and deduplication of text blocks in assistant messages.
- Improved error handling and logging in authentication routes, providing clearer feedback to users.
These changes improve the overall user experience and security of the Codex integration, ensuring smoother authentication processes and better management of API keys.
- Introduced `SandboxRiskDialog` to prompt users about risks when running outside a containerized environment.
- Added `SandboxRejectionScreen` for users who deny the sandbox risk confirmation, providing options to reload or restart the app.
- Updated settings view and danger zone section to manage sandbox warning preferences.
- Implemented a new API endpoint to check if the application is running in a containerized environment.
- Enhanced state management to handle sandbox warning settings across the application.
- Implemented session verification on component mount using exponential backoff to handle server live reload scenarios.
- Added loading state to the login view while checking for an existing session, improving user experience.
- Removed unused setup wizard navigation from the API keys section for cleaner code.
- 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 navigation functions to cast route paths correctly, improving type safety.
- Added error handling for the templates API in project creation hooks to ensure robustness.
- Refactored task progress panel to improve type handling for feature data.
- Introduced type checks and default values in various components to enhance overall stability.
These changes improve the reliability and maintainability of the application, ensuring better user experience and code quality.
- Added a new function to retrieve subagents configuration from settings, allowing users to enable/disable subagents and select sources for loading them.
- Updated the AgentService to incorporate subagents configuration, dynamically adding tools based on the settings.
- Enhanced the UI components to manage subagents, including a settings section for enabling/disabling and selecting sources.
- Introduced a new hook for managing subagents settings state and interactions.
These changes improve the flexibility and usability of subagents within the application, enhancing user experience and configuration options.
- Updated useSkillsSettings and useSubagents hooks to improve state management and error handling.
- Added new settings API methods for skills configuration and agent discovery.
- Refactored app-store to include enableSkills and skillsSources state management.
- Enhanced settings migration to sync skills configuration with the server.
These changes streamline the management of skills and subagents, ensuring better integration and user experience.
- Updated .gitignore to include skills directory.
- Introduced agent discovery functionality to scan for AGENT.md files in user and project directories.
- Added new API endpoint for discovering filesystem agents.
- Implemented UI components for managing skills and viewing custom subagents.
- Enhanced settings helpers to retrieve skills configuration and custom subagents.
- Updated agent service to incorporate skills and subagents in task delegation.
These changes enhance the capabilities of the system by allowing users to define and manage skills and custom subagents effectively.
- Added a `sanitizeProjectName` function to ensure project names are safe for shell commands and Docker image names by converting them to lowercase and removing non-alphanumeric characters.
- Updated `dev.mjs` and `start.mjs` to utilize the new sanitization function when determining Docker image names, enhancing security and consistency.
- Refactored the Docker entrypoint script to ensure proper permissions for the Cursor CLI config directory, improving setup reliability.
- Clarified documentation regarding the storage location of OAuth tokens for the Cursor CLI on Linux.
These changes improve the robustness of the Docker setup and enhance the overall development workflow.
- Introduced a new markdown file summarizing various attempts to install the Cursor CLI in Docker, detailing approaches, results, and key learnings.
- Updated Dockerfile to ensure proper installation of Cursor CLI for the non-root user, including necessary PATH adjustments for interactive shells.
- Enhanced entrypoint script to manage OAuth tokens for both Claude and Cursor CLIs, ensuring correct permissions and directory setups.
- Added scripts for extracting OAuth tokens from macOS Keychain and Linux JSON files for seamless integration with Docker.
- Updated docker-compose files to support persistent storage for CLI configurations and authentication tokens.
These changes improve the development workflow and provide clear guidance on CLI installation and authentication processes.
- Removed MCP permission settings from the application, including related functions and UI components.
- Updated SDK options to always bypass permissions and allow unrestricted tool access in autonomous mode.
- Adjusted related components and services to reflect the removal of MCP permission configurations, ensuring a cleaner and more efficient codebase.
- Updated imports and references from 'phase-models' to 'model-defaults' across various components.
- Removed obsolete phase models index file to streamline the codebase.
- Introduced a new phase model for AI Suggestions, enhancing the functionality of the settings view.
- Updated the phase model handling to utilize DEFAULT_PHASE_MODELS as a fallback, ensuring robust behavior when specific models are not set.
- This addition improves the user experience by providing more options for project analysis and suggestions.
- Replaced console.log and console.error statements with logger methods from @automaker/utils in various UI components, ensuring consistent log formatting and improved readability.
- Enhanced error handling by utilizing logger methods to provide clearer context for issues encountered during operations.
- Updated multiple views and hooks to integrate the new logging system, improving maintainability and debugging capabilities.
This update significantly enhances the observability of UI components, facilitating easier troubleshooting and monitoring.
- Enhanced the agent service and request handling to include an optional thinking level parameter, improving the configurability of model interactions.
- Updated the UI components to manage and display the selected model along with its thinking level, ensuring a cohesive user experience.
- Refactored the model selector and input controls to accommodate the new model selection structure, enhancing usability and clarity.
- Adjusted the Electron API and HTTP client to support the new thinking level parameter in requests, ensuring consistent data handling across the application.
This update significantly improves the agent's ability to adapt its reasoning capabilities based on user-defined thinking levels, enhancing overall performance and user satisfaction.
- Introduced a new function, buildThinkingOptions, to handle the conversion of ThinkingLevel to maxThinkingTokens for the Claude SDK.
- Updated existing SDK option creation functions to incorporate thinking options, ensuring that maxThinkingTokens are included based on the specified thinking level.
- Enhanced the settings service to support migration of phase models to include thinking levels, improving compatibility with new configurations.
- Added comprehensive tests for thinking level integration and migration logic, ensuring robust functionality across the application.
This update significantly improves the SDK's configurability and performance by allowing for more nuanced control over reasoning capabilities.
- Added support for grouped models in the PhaseModelSelector, allowing users to select from multiple variants within a single group.
- Introduced a new popover UI for displaying grouped model variants, improving user interaction and selection clarity.
- Implemented logic to filter and display enabled cursor models, including standalone and grouped options.
- Enhanced state management for expanded groups and variant selection, ensuring a smoother user experience.
This update significantly improves the model selection process, making it more intuitive and organized.
- Updated the SandboxRiskDialog to include a checkbox for users to opt-out of future warnings, passing the state to the onConfirm callback.
- Modified SettingsView to manage the skipSandboxWarning state, allowing users to reset the warning preference.
- Enhanced DangerZoneSection to display a message when the sandbox warning is disabled and provide an option to reset this setting.
- Updated RootLayoutContent to respect the user's choice regarding the sandbox warning, auto-confirming if the user opts to skip it.
- Added skipSandboxWarning state management to the app store for persistent user preferences.
