# Workflow Parity Matrix This document maps Plandex Go workflows to CleverAgents Python modules. ## Summary Statistics - Total workflows: 15 - Go components: 51 - Python modules: 47 - Total stages: 73 ## Workflows by Category ### Plan Lifecycle Plan creation, building, applying, and archiving #### Plan Create Create a new plan with initial context **Stages:** 1. initialization: Create plan structure and metadata 1. context_setup: Set up initial context and files 1. model_selection: Choose default model for the plan 1. persistence: Save plan to database/filesystem **Python Modules:** - `cleveragents.domain.plans` - `cleveragents.application.plan_service` - `cleveragents.cli.commands.plan` **Test Coverage:** - behave: features/plans.feature - robot: robot/plan_lifecycle.robot - go_tests: app/cli/cmd/plan_test.go **Notes:** Must maintain backward compatibility with existing plan formats #### Plan Build Build plan by processing prompts through AI models **Stages:** 1. prompt_processing: Process user prompts and context 1. model_interaction: Send to AI model and get response 1. diff_generation: Generate diffs from AI response 1. validation: Validate generated changes 1. storage: Store diffs and conversation history **Python Modules:** - `cleveragents.application.build_service` - `cleveragents.domain.diffs` - `cleveragents.infrastructure.ai_providers` - `cleveragents.cli.commands.tell` **Test Coverage:** - behave: features/plan_build.feature - robot: robot/build_workflow.robot **Notes:** Streaming updates must match Go implementation timing #### Plan Apply Apply plan changes to files with review and confirmation **Stages:** 1. diff_preview: Show pending changes to user 1. confirmation: Get user confirmation 1. file_updates: Apply diffs to files 1. git_operations: Optional git commit 1. cleanup: Clean up temporary files **Python Modules:** - `cleveragents.application.apply_service` - `cleveragents.domain.file_operations` - `cleveragents.infrastructure.git_integration` - `cleveragents.cli.commands.apply` **Test Coverage:** - behave: features/apply.feature - robot: robot/apply_workflow.robot **Notes:** Must handle merge conflicts and rollback on failure ### Context Management Context loading, modification, and auto-detection #### Context Load Load files and directories into plan context **Stages:** 1. path_resolution: Resolve file paths and globs 1. content_reading: Read file contents 1. filtering: Apply ignore patterns 1. indexing: Index content for search 1. storage: Store in context database **Python Modules:** - `cleveragents.domain.context` - `cleveragents.application.context_service` - `cleveragents.infrastructure.file_loader` - `cleveragents.cli.commands.context` **Test Coverage:** - behave: features/context.feature - robot: robot/context_management.robot **Notes:** Auto-context detection must match Go heuristics #### Context Auto Automatically detect and load relevant context **Stages:** 1. detection: Detect project type and structure 1. heuristics: Apply loading heuristics 1. filtering: Filter irrelevant files 1. loading: Load detected context **Python Modules:** - `cleveragents.application.auto_context` - `cleveragents.domain.heuristics` **Test Coverage:** - behave: features/auto_context.feature - robot: robot/auto_context.robot **Notes:** Heuristics extracted in implicit behaviors discovery ### Execution Flows Command execution, auto-debug, and rollback #### Exec Command Execute commands in plan context with capture **Stages:** 1. command_parsing: Parse command and arguments 1. environment_setup: Set up execution environment 1. execution: Run command with output capture 1. result_processing: Process output and errors 1. context_update: Update context with results **Python Modules:** - `cleveragents.application.exec_service` - `cleveragents.infrastructure.process_runner` - `cleveragents.domain.exec_results` **Test Coverage:** - behave: features/exec.feature - robot: robot/execution.robot **Notes:** Must support process groups and cgroup isolation #### Auto Debug Automatically debug and retry failed operations **Stages:** 1. error_detection: Detect errors in output 1. error_analysis: Analyze error for fix strategy 1. fix_generation: Generate fix with AI model 1. fix_application: Apply fix and retry 1. validation: Validate fix succeeded **Python Modules:** - `cleveragents.application.debug_service` - `cleveragents.domain.error_analysis` - `cleveragents.infrastructure.ai_debug` **Test Coverage:** - behave: features/auto_debug.feature - robot: robot/debug_workflow.robot **Notes:** Retry limits and backoff must match Go implementation ### Branching Branch creation, switching, merging, and diff management #### Branch Create Create and switch plan branches **Stages:** 1. validation: Validate branch name 1. creation: Create branch structure 1. copying: Copy current state to branch 1. switching: Switch to new branch 1. persistence: Save branch metadata **Python Modules:** - `cleveragents.domain.branches` - `cleveragents.application.branch_service` - `cleveragents.cli.commands.branches` **Test Coverage:** - behave: features/branches.feature - robot: robot/branching.robot **Notes:** Branch switching must preserve unsaved changes #### Branch Merge Merge branches with conflict resolution **Stages:** 1. diff_comparison: Compare branch diffs 1. conflict_detection: Detect merge conflicts 1. conflict_resolution: Resolve conflicts 1. merge_application: Apply merged changes 1. cleanup: Clean up merged branch **Python Modules:** - `cleveragents.application.merge_service` - `cleveragents.domain.conflict_resolution` **Test Coverage:** - behave: features/merge.feature - robot: robot/merge_workflow.robot **Notes:** Must support manual and automatic conflict resolution ### Collaboration Team invites, sharing, and permissions #### Team Invite Invite team members and manage permissions **Stages:** 1. invite_creation: Create invite 1. notification: Send invite notification 1. acceptance: Process invite acceptance 1. permission_grant: Grant permissions 1. sync: Sync team state **Python Modules:** - `cleveragents.domain.teams` - `cleveragents.application.invite_service` - `cleveragents.infrastructure.notifications` **Test Coverage:** - behave: features/collaboration.feature - robot: robot/team_workflow.robot **Notes:** Replace cloud invites with SMTP or local alternatives ### Model Management Model selection, custom models, and provider configuration #### Model Selection Select and configure AI models **Stages:** 1. model_listing: List available models 1. capability_check: Check model capabilities 1. selection: Select model 1. validation: Validate API keys 1. configuration: Save model configuration **Python Modules:** - `cleveragents.domain.models` - `cleveragents.application.model_service` - `cleveragents.infrastructure.model_providers` - `cleveragents.cli.commands.models` **Test Coverage:** - behave: features/models.feature - robot: robot/model_management.robot **Notes:** Model catalog refresh must be automated ### Authentication Login, logout, session management, and API keys #### Auth Login User authentication and session establishment **Stages:** 1. credential_input: Get user credentials 1. authentication: Verify credentials 1. session_creation: Create session token 1. token_storage: Store token locally 1. verification: Verify session active **Python Modules:** - `cleveragents.infrastructure.auth` - `cleveragents.domain.sessions` - `cleveragents.cli.commands.auth` **Test Coverage:** - behave: features/authentication.feature - robot: robot/auth_workflow.robot **Notes:** Must support both API key and email/password auth ### Configuration Settings, environment variables, and config files #### Config Management Manage application configuration **Stages:** 1. config_loading: Load configuration files 1. env_merging: Merge environment variables 1. validation: Validate configuration 1. application: Apply configuration 1. persistence: Save configuration changes **Python Modules:** - `cleveragents.infrastructure.config` - `cleveragents.domain.settings` - `cleveragents.cli.commands.config` **Test Coverage:** - behave: features/configuration.feature - robot: robot/config_management.robot **Notes:** Must support CLEVERAGENTS_ env vars exclusively ### Streaming Real-time updates, logs, and progress tracking #### Stream Updates Stream real-time updates during operations **Stages:** 1. connection: Establish streaming connection 1. buffering: Buffer incoming chunks 1. rendering: Render updates to UI 1. error_handling: Handle connection errors 1. cleanup: Clean up on completion **Python Modules:** - `cleveragents.infrastructure.streaming` - `cleveragents.application.stream_service` - `cleveragents.cli.ui.stream_renderer` **Test Coverage:** - behave: features/streaming.feature - robot: robot/streaming.robot **Notes:** Must handle reconnection and backpressure ### Background Jobs Async tasks, retries, and job scheduling #### Background Jobs Manage background tasks and job scheduling **Stages:** 1. job_creation: Create job definition 1. scheduling: Schedule job execution 1. execution: Execute job task 1. retry: Retry on failure 1. completion: Mark job complete **Python Modules:** - `cleveragents.infrastructure.jobs` - `cleveragents.application.job_service` - `cleveragents.domain.background_tasks` **Test Coverage:** - behave: features/background_jobs.feature - robot: robot/job_scheduling.robot **Notes:** Use asyncio or celery for job management ## Recommended Implementation Order Based on dependency analysis: 1. **team_invite** - Invite team members and manage permissions 2. **auth_login** - User authentication and session establishment 3. **model_selection** - Select and configure AI models 4. **background_jobs** - Manage background tasks and job scheduling 5. **auto_debug** - Automatically debug and retry failed operations 6. **config_management** - Manage application configuration 7. **context_load** - Load files and directories into plan context 8. **plan_apply** - Apply plan changes to files with review and confirmation 9. **branch_merge** - Merge branches with conflict resolution 10. **branch_create** - Create and switch plan branches 11. **stream_updates** - Stream real-time updates during operations 12. **plan_build** - Build plan by processing prompts through AI models 13. **plan_create** - Create a new plan with initial context 14. **context_auto** - Automatically detect and load relevant context 15. **exec_command** - Execute commands in plan context with capture