mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-26 06:07:30 +00:00
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration Problem: Infrastructure configuration changes (e.g., Traefik port settings) were being made based on assumptions without consulting official documentation, violating the 'Evidence > assumptions' principle in PRINCIPLES.md. Solution: - Added Infrastructure Configuration Validation section to MODE_Orchestration.md - Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.) - Enforces MODE_DeepResearch activation for investigation - BLOCKS assumption-based configuration changes Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default) This prevents production outages from infrastructure misconfiguration by ensuring all technical recommendations are backed by official documentation. * feat: Add PM Agent (Project Manager Agent) for seamless orchestration Introduces PM Agent as the default orchestration layer that coordinates all sub-agents and manages workflows automatically. Key Features: - Default orchestration: All user interactions handled by PM Agent - Auto-delegation: Intelligent sub-agent selection based on task analysis - Docker Gateway integration: Zero-token baseline with dynamic MCP loading - Self-improvement loop: Automatic documentation of patterns and mistakes - Optional override: Users can specify sub-agents explicitly if desired Architecture: - Agent spec: SuperClaude/Agents/pm-agent.md - Command: SuperClaude/Commands/pm.md - Updated docs: README.md (15→16 agents), agents.md (new Orchestration category) User Experience: - Default: PM Agent handles everything (seamless, no manual routing) - Optional: Explicit --agent flag for direct sub-agent access - Both modes available simultaneously (no user downside) Implementation Status: - ✅ Specification complete - ✅ Documentation complete - ⏳ Prototype implementation needed - ⏳ Docker Gateway integration needed - ⏳ Testing and validation needed Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration) * feat: Add Agent Orchestration rules for PM Agent default activation Implements PM Agent as the default orchestration layer in RULES.md. Key Changes: - New 'Agent Orchestration' section (CRITICAL priority) - PM Agent receives ALL user requests by default - Manual override with @agent-[name] bypasses PM Agent - Agent Selection Priority clearly defined: 1. Manual override → Direct routing 2. Default → PM Agent → Auto-delegation 3. Delegation based on keywords, file types, complexity, context User Experience: - Default: PM Agent handles everything (seamless) - Override: @agent-[name] for direct specialist access - Transparent: PM Agent reports delegation decisions This establishes PM Agent as the orchestration layer while respecting existing auto-activation patterns and manual overrides. Next Steps: - Local testing in agiletec project - Iteration based on actual behavior - Documentation updates as needed * refactor(pm-agent): redesign as self-improvement meta-layer Problem Resolution: PM Agent's initial design competed with existing auto-activation for task routing, creating confusion about orchestration responsibilities and adding unnecessary complexity. Design Change: Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents complete tasks, focusing on: - Post-implementation documentation and pattern recording - Immediate mistake analysis with prevention checklists - Monthly documentation maintenance and noise reduction - Pattern extraction and knowledge synthesis Two-Layer Orchestration System: 1. Task Execution Layer: Existing auto-activation handles task routing (unchanged) 2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new) Files Modified: - SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design - Category: orchestration → meta - Triggers: All user interactions → Post-implementation, mistakes, monthly - Behavioral Mindset: Continuous learning system - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE - SuperClaude/Core/RULES.md: Agent Orchestration section updated - Split into Task Execution Layer + Self-Improvement Layer - Added orchestration flow diagram - Clarified PM Agent activates AFTER task completion - README.md: Updated PM Agent description - "orchestrates all interactions" → "ensures continuous learning" - Docs/User-Guide/agents.md: PM Agent section rewritten - Section: Orchestration Agent → Meta-Layer Agent - Expertise: Project orchestration → Self-improvement workflow executor - Examples: Task coordination → Post-implementation documentation - PR_DOCUMENTATION.md: Comprehensive PR documentation added - Summary, motivation, changes, testing, breaking changes - Two-layer orchestration system diagram - Verification checklist Integration Validated: Tested with agiletec project's self-improvement-workflow.md: ✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases ✅ Complements (not competes with) existing workflow ✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it Breaking Changes: None - Existing auto-activation continues unchanged - Specialist agents unaffected - User workflows remain the same - New capability: Automatic documentation and knowledge maintenance Value Proposition: Transforms SuperClaude into a continuously learning system that accumulates knowledge, prevents recurring mistakes, and maintains fresh documentation without manual intervention. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add Claude Code conversation history management research Research covering .jsonl file structure, performance impact, and retention policies. Content: - Claude Code .jsonl file format and message types - Performance issues from GitHub (memory leaks, conversation compaction) - Retention policies (consumer vs enterprise) - Rotation recommendations based on actual data - File history snapshot tracking mechanics Source: Moved from agiletec project (research applicable to all Claude Code projects) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add Development documentation structure Phase 1: Documentation Structure complete - Add Docs/Development/ directory for development documentation - Add ARCHITECTURE.md - System architecture with PM Agent meta-layer - Add ROADMAP.md - 5-phase development plan with checkboxes - Add TASKS.md - Daily task tracking with progress indicators - Add PROJECT_STATUS.md - Current status dashboard and metrics - Add pm-agent-integration.md - Implementation guide for PM Agent mode This establishes comprehensive documentation foundation for: - System architecture understanding - Development planning and tracking - Implementation guidance - Progress visibility Related: #pm-agent-mode #documentation #phase-1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: PM Agent session lifecycle and PDCA implementation Phase 2: PM Agent Mode Integration (Design Phase) Commands/pm.md updates: - Add "Always-Active Foundation Layer" concept - Add Session Lifecycle (Session Start/During Work/Session End) - Add PDCA Cycle (Plan/Do/Check/Act) automation - Add Serena MCP Memory Integration (list/read/write_memory) - Document auto-activation triggers Agents/pm-agent.md updates: - Add Session Start Protocol (MANDATORY auto-activation) - Add During Work PDCA Cycle with example workflows - Add Session End Protocol with state preservation - Add PDCA Self-Evaluation Pattern - Add Documentation Strategy (temp → patterns/mistakes) - Add Memory Operations Reference Key Features: - Session start auto-activation for context restoration - 30-minute checkpoint saves during work - Self-evaluation with think_about_* operations - Systematic documentation lifecycle - Knowledge evolution to CLAUDE.md Implementation Status: - ✅ Design complete (Commands/pm.md, Agents/pm-agent.md) - ⏳ Implementation pending (Core components) - ⏳ Serena MCP integration pending Salvaged from mistaken development in ~/.claude directory Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: disable Serena MCP auto-browser launch Disable web dashboard and GUI log window auto-launch in Serena MCP server to prevent intrusive browser popups on startup. Users can still manually access the dashboard at http://localhost:24282/dashboard/ if needed. Changes: - Add CLI flags to Serena run command: - --enable-web-dashboard false - --enable-gui-log-window false - Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml) - Aligns with AIRIS MCP Gateway integration approach 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: rename directories to lowercase for PEP8 compliance - Rename superclaude/Agents -> superclaude/agents - Rename superclaude/Commands -> superclaude/commands - Rename superclaude/Core -> superclaude/core - Rename superclaude/Examples -> superclaude/examples - Rename superclaude/MCP -> superclaude/mcp - Rename superclaude/Modes -> superclaude/modes This change follows Python PEP8 naming conventions for package directories. * style: fix PEP8 violations and update package name to lowercase Changes: - Format all Python files with black (43 files reformatted) - Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml - Fix import statements to use lowercase package name - Add missing imports (timedelta, __version__) - Remove old SuperClaude.egg-info directory PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit). * docs: add PM Agent development documentation Add comprehensive PM Agent development documentation: - PM Agent ideal workflow (7-phase autonomous cycle) - Project structure understanding (Git vs installed environment) - Installation flow understanding (CommandsComponent behavior) - Task management system (current-tasks.md) Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(pm-agent): add self-correcting execution and warning investigation culture ## Changes ### superclaude/commands/pm.md - Add "Self-Correcting Execution" section with root cause analysis protocol - Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal - Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute - Document anti-patterns (retry without understanding) and correct patterns (research-first) ### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md - Add PDCA workflow hypothesis document for PM Agent autonomous enhancement ## Rationale PM Agent must never retry failed operations without understanding root causes. All warnings and errors require investigation via context7/WebFetch/documentation to ensure production-quality code and prevent technical debt accumulation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(installer): add airis-mcp-gateway MCP server option ## Changes - Add airis-mcp-gateway to MCP server options in installer - Configuration: GitHub-based installation via uvx - Repository: https://github.com/oraios/airis-mcp-gateway - Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading ## Implementation Added to setup/components/mcp.py self.mcp_servers dictionary with: - install_method: github - install_command: uvx test installation - run_command: uvx runtime execution - required: False (optional server) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local> Co-authored-by: Claude <noreply@anthropic.com>
366 lines
12 KiB
Python
366 lines
12 KiB
Python
"""
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Configuration management for SuperClaude installation system
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"""
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import json
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from typing import Dict, Any, List, Optional
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from pathlib import Path
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# Handle jsonschema import - if not available, use basic validation
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try:
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import jsonschema
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from jsonschema import validate, ValidationError
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JSONSCHEMA_AVAILABLE = True
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except ImportError:
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JSONSCHEMA_AVAILABLE = False
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class ValidationError(Exception):
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"""Simple validation error for when jsonschema is not available"""
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def __init__(self, message):
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self.message = message
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super().__init__(message)
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def validate(instance, schema):
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"""Dummy validation function"""
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# Basic type checking only
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if "type" in schema:
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expected_type = schema["type"]
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if expected_type == "object" and not isinstance(instance, dict):
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raise ValidationError(f"Expected object, got {type(instance).__name__}")
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elif expected_type == "array" and not isinstance(instance, list):
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raise ValidationError(f"Expected array, got {type(instance).__name__}")
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elif expected_type == "string" and not isinstance(instance, str):
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raise ValidationError(f"Expected string, got {type(instance).__name__}")
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elif expected_type == "integer" and not isinstance(instance, int):
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raise ValidationError(
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f"Expected integer, got {type(instance).__name__}"
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)
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# Skip detailed validation if jsonschema not available
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class ConfigService:
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"""Manages configuration files and validation"""
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def __init__(self, config_dir: Path):
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"""
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Initialize config manager
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Args:
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config_dir: Directory containing configuration files
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"""
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self.config_dir = config_dir
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self.features_file = config_dir / "features.json"
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self.requirements_file = config_dir / "requirements.json"
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self._features_cache = None
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self._requirements_cache = None
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# Schema for features.json
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self.features_schema = {
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"type": "object",
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"properties": {
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"components": {
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"type": "object",
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"patternProperties": {
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"^[a-zA-Z_][a-zA-Z0-9_]*$": {
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"type": "object",
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"properties": {
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"name": {"type": "string"},
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"version": {"type": "string"},
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"description": {"type": "string"},
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"category": {"type": "string"},
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"dependencies": {
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"type": "array",
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"items": {"type": "string"},
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},
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"enabled": {"type": "boolean"},
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"required_tools": {
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"type": "array",
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"items": {"type": "string"},
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},
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},
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"required": ["name", "version", "description", "category"],
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"additionalProperties": False,
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}
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},
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}
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},
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"required": ["components"],
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"additionalProperties": False,
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}
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# Schema for requirements.json
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self.requirements_schema = {
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"type": "object",
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"properties": {
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"python": {
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"type": "object",
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"properties": {
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"min_version": {"type": "string"},
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"max_version": {"type": "string"},
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},
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"required": ["min_version"],
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},
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"node": {
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"type": "object",
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"properties": {
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"min_version": {"type": "string"},
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"max_version": {"type": "string"},
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"required_for": {"type": "array", "items": {"type": "string"}},
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},
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"required": ["min_version"],
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},
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"disk_space_mb": {"type": "integer"},
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"external_tools": {
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"type": "object",
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"patternProperties": {
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"^[a-zA-Z_][a-zA-Z0-9_-]*$": {
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"type": "object",
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"properties": {
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"command": {"type": "string"},
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"min_version": {"type": "string"},
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"required_for": {
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"type": "array",
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"items": {"type": "string"},
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},
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"optional": {"type": "boolean"},
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},
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"required": ["command"],
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"additionalProperties": False,
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}
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},
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},
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"installation_commands": {
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"type": "object",
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"patternProperties": {
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"^[a-zA-Z_][a-zA-Z0-9_-]*$": {
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"type": "object",
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"properties": {
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"linux": {"type": "string"},
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"darwin": {"type": "string"},
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"win32": {"type": "string"},
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"all": {"type": "string"},
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"description": {"type": "string"},
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},
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"additionalProperties": False,
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}
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},
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},
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},
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"required": ["python", "disk_space_mb"],
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"additionalProperties": False,
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}
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def load_features(self) -> Dict[str, Any]:
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"""
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Load and validate features configuration
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Returns:
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Features configuration dict
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Raises:
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FileNotFoundError: If features.json not found
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ValidationError: If features.json is invalid
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"""
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if self._features_cache is not None:
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return self._features_cache
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if not self.features_file.exists():
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raise FileNotFoundError(f"Features config not found: {self.features_file}")
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try:
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with open(self.features_file, "r") as f:
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features = json.load(f)
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# Validate schema
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validate(instance=features, schema=self.features_schema)
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self._features_cache = features
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return features
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except json.JSONDecodeError as e:
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raise ValidationError(f"Invalid JSON in {self.features_file}: {e}")
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except ValidationError as e:
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raise ValidationError(f"Invalid features schema: {str(e)}")
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def load_requirements(self) -> Dict[str, Any]:
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"""
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Load and validate requirements configuration
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Returns:
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Requirements configuration dict
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Raises:
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FileNotFoundError: If requirements.json not found
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ValidationError: If requirements.json is invalid
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"""
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if self._requirements_cache is not None:
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return self._requirements_cache
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if not self.requirements_file.exists():
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raise FileNotFoundError(
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f"Requirements config not found: {self.requirements_file}"
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)
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try:
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with open(self.requirements_file, "r") as f:
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requirements = json.load(f)
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# Validate schema
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validate(instance=requirements, schema=self.requirements_schema)
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self._requirements_cache = requirements
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return requirements
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except json.JSONDecodeError as e:
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raise ValidationError(f"Invalid JSON in {self.requirements_file}: {e}")
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except ValidationError as e:
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raise ValidationError(f"Invalid requirements schema: {str(e)}")
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def get_component_info(self, component_name: str) -> Optional[Dict[str, Any]]:
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"""
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Get information about a specific component
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Args:
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component_name: Name of component
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Returns:
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Component info dict or None if not found
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"""
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features = self.load_features()
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return features.get("components", {}).get(component_name)
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def get_enabled_components(self) -> List[str]:
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"""
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Get list of enabled component names
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Returns:
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List of enabled component names
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"""
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features = self.load_features()
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enabled = []
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for name, info in features.get("components", {}).items():
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if info.get("enabled", True): # Default to enabled
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enabled.append(name)
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return enabled
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def get_components_by_category(self, category: str) -> List[str]:
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"""
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Get component names by category
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Args:
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category: Component category
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Returns:
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List of component names in category
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"""
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features = self.load_features()
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components = []
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for name, info in features.get("components", {}).items():
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if info.get("category") == category:
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components.append(name)
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return components
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def get_component_dependencies(self, component_name: str) -> List[str]:
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"""
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Get dependencies for a component
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Args:
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component_name: Name of component
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Returns:
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List of dependency component names
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"""
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component_info = self.get_component_info(component_name)
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if component_info:
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return component_info.get("dependencies", [])
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return []
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def get_system_requirements(self) -> Dict[str, Any]:
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"""
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Get system requirements
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Returns:
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System requirements dict
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"""
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return self.load_requirements()
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def get_requirements_for_components(
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self, component_names: List[str]
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) -> Dict[str, Any]:
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"""
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Get consolidated requirements for specific components
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Args:
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component_names: List of component names
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Returns:
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Consolidated requirements dict
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"""
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requirements = self.load_requirements()
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features = self.load_features()
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# Start with base requirements
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result = {
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"python": requirements["python"],
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"disk_space_mb": requirements["disk_space_mb"],
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"external_tools": {},
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}
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# Add Node.js requirements if needed
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node_required = False
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for component_name in component_names:
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component_info = features.get("components", {}).get(component_name, {})
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required_tools = component_info.get("required_tools", [])
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if "node" in required_tools:
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node_required = True
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break
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if node_required and "node" in requirements:
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result["node"] = requirements["node"]
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# Add external tool requirements
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for component_name in component_names:
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component_info = features.get("components", {}).get(component_name, {})
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required_tools = component_info.get("required_tools", [])
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for tool in required_tools:
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if tool in requirements.get("external_tools", {}):
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result["external_tools"][tool] = requirements["external_tools"][
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tool
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]
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return result
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def validate_config_files(self) -> List[str]:
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"""
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Validate all configuration files
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Returns:
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List of validation errors (empty if all valid)
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"""
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errors = []
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try:
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self.load_features()
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except Exception as e:
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errors.append(f"Features config error: {e}")
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try:
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self.load_requirements()
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except Exception as e:
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errors.append(f"Requirements config error: {e}")
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return errors
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def clear_cache(self) -> None:
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"""Clear cached configuration data"""
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self._features_cache = None
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self._requirements_cache = None
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