tegwick
6fb302075d
Built comprehensive system for introducing Kaizen agents to existing projects: 🔍 **Detection System (detection.py)**: - Detects 9+ types of existing agent systems (Kaizen, Claude Code, custom agents, etc.) - Analyzes agent files with YAML frontmatter parsing - Identifies conflicts and functional overlaps - Generates integration strategies and migration recommendations 🔄 **Migration Framework (migration.py)**: - Creates detailed migration plans for each detected agent - Supports 5 migration strategies: replace, extend, preserve, merge, remove - Intelligent conflict resolution with multiple resolution types - Safe execution with backup creation and rollback capability 🔗 **Extension System (extensions.py)**: - Project-specific agent customizations and extensions - Multiple extension types: config overlay, functional extension, workflow integration - Template generation for basic and advanced extensions - Legacy agent integration with wrapper creation 🛠️ **CLI Integration**: - `kaizen-agentic detect` - Analyze existing agent systems - `kaizen-agentic migrate` - Execute migration plans with dry-run support - `kaizen-agentic extensions` - Complete extension management commands 📖 **Integration Patterns Documentation**: - 5 proven integration scenarios with detailed patterns - Conflict resolution strategies and decision matrices - Safe transition strategies with phased rollout - Best practices and troubleshooting guides **Key Features**: ✅ Respects existing project structure and workflows ✅ Safe transitions with comprehensive backup strategies ✅ Conflict detection and automated resolution ✅ Extension mechanisms for preserving custom functionality ✅ Comprehensive tooling for all transition scenarios Scenario 2 is now production-ready for integrating Kaizen agents into any existing project! 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
616 lines
20 KiB
Python
616 lines
20 KiB
Python
"""Extension mechanisms for project-specific Kaizen agent customizations."""
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import json
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import yaml
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from pathlib import Path
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from typing import Dict, List, Optional, Any, Union
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from dataclasses import dataclass, field
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from enum import Enum
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class ExtensionType(Enum):
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"""Types of agent extensions."""
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CONFIGURATION_OVERLAY = "config_overlay" # Override default configurations
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FUNCTIONAL_EXTENSION = "functional_extension" # Add new functionality
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WORKFLOW_INTEGRATION = "workflow_integration" # Integrate with project workflows
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CUSTOM_COMMANDS = "custom_commands" # Add custom commands
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DATA_TRANSFORMATION = "data_transformation" # Transform data formats
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ENVIRONMENT_ADAPTATION = "env_adaptation" # Adapt to specific environments
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@dataclass
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class AgentExtension:
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"""Defines an extension to a Kaizen agent."""
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name: str
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base_agent: str # The Kaizen agent this extends
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extension_type: ExtensionType
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description: str
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version: str = "1.0.0"
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author: Optional[str] = None
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# Extension configuration
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configuration: Dict[str, Any] = field(default_factory=dict)
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custom_commands: Dict[str, str] = field(default_factory=dict)
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workflow_hooks: Dict[str, str] = field(default_factory=dict)
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data_transformations: Dict[str, str] = field(default_factory=dict)
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environment_overrides: Dict[str, Any] = field(default_factory=dict)
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# Metadata
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dependencies: List[str] = field(default_factory=list)
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compatibility: List[str] = field(default_factory=list) # Compatible Kaizen versions
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enabled: bool = True
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@dataclass
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class ProjectExtensionRegistry:
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"""Registry of extensions for a project."""
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project_path: Path
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extensions: List[AgentExtension] = field(default_factory=list)
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global_config: Dict[str, Any] = field(default_factory=dict)
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class ExtensionManager:
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"""Manages agent extensions for projects."""
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def __init__(self, project_path: Path):
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self.project_path = Path(project_path)
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self.extensions_dir = self.project_path / ".kaizen" / "extensions"
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self.config_file = self.project_path / ".kaizen" / "extensions.yml"
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def create_extension(
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self,
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name: str,
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base_agent: str,
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extension_type: ExtensionType,
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description: str,
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**kwargs
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) -> AgentExtension:
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"""Create a new agent extension."""
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extension = AgentExtension(
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name=name,
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base_agent=base_agent,
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extension_type=extension_type,
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description=description,
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**kwargs
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)
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self._save_extension(extension)
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return extension
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def install_extension(self, extension_path: Path) -> AgentExtension:
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"""Install an extension from a file."""
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if extension_path.suffix == '.json':
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with open(extension_path) as f:
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data = json.load(f)
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elif extension_path.suffix in ['.yml', '.yaml']:
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with open(extension_path) as f:
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data = yaml.safe_load(f)
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else:
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raise ValueError(f"Unsupported extension file format: {extension_path.suffix}")
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extension = AgentExtension(**data)
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self._save_extension(extension)
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return extension
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def list_extensions(self, base_agent: Optional[str] = None) -> List[AgentExtension]:
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"""List all extensions, optionally filtered by base agent."""
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extensions = self._load_extensions()
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if base_agent:
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return [ext for ext in extensions if ext.base_agent == base_agent]
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return extensions
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def get_extension(self, name: str) -> Optional[AgentExtension]:
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"""Get a specific extension by name."""
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extensions = self._load_extensions()
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return next((ext for ext in extensions if ext.name == name), None)
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def enable_extension(self, name: str) -> bool:
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"""Enable an extension."""
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return self._toggle_extension(name, True)
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def disable_extension(self, name: str) -> bool:
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"""Disable an extension."""
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return self._toggle_extension(name, False)
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def remove_extension(self, name: str) -> bool:
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"""Remove an extension."""
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extensions = self._load_extensions()
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original_count = len(extensions)
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extensions = [ext for ext in extensions if ext.name != name]
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if len(extensions) < original_count:
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self._save_extensions(extensions)
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# Remove extension files
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extension_dir = self.extensions_dir / name
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if extension_dir.exists():
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import shutil
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shutil.rmtree(extension_dir)
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return True
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return False
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def get_effective_config(self, base_agent: str) -> Dict[str, Any]:
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"""Get the effective configuration for an agent with all extensions applied."""
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base_config = self._get_base_agent_config(base_agent)
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extensions = [ext for ext in self._load_extensions()
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if ext.base_agent == base_agent and ext.enabled]
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# Apply extensions in order
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for extension in extensions:
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base_config = self._apply_extension_config(base_config, extension)
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return base_config
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def create_project_specific_agent(
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self,
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name: str,
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base_agent: str,
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custom_instructions: str,
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custom_commands: Optional[Dict[str, str]] = None,
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environment_config: Optional[Dict[str, Any]] = None
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) -> AgentExtension:
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"""Create a project-specific agent based on a Kaizen agent."""
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# Create extension configuration
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config = {
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"custom_instructions": custom_instructions,
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"project_context": {
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"name": self.project_path.name,
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"path": str(self.project_path),
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"type": self._detect_project_type()
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}
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}
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if environment_config:
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config["environment"] = environment_config
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extension = self.create_extension(
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name=name,
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base_agent=base_agent,
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extension_type=ExtensionType.FUNCTIONAL_EXTENSION,
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description=f"Project-specific extension of {base_agent} for {self.project_path.name}",
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configuration=config,
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custom_commands=custom_commands or {},
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environment_overrides=environment_config or {}
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)
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# Create agent file
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self._create_extended_agent_file(extension)
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return extension
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def integrate_legacy_agent(
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self,
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legacy_agent_path: Path,
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target_kaizen_agent: str,
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migration_strategy: str = "preserve_functionality"
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) -> AgentExtension:
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"""Integrate a legacy agent as an extension to a Kaizen agent."""
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# Analyze legacy agent
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legacy_analysis = self._analyze_legacy_agent(legacy_agent_path)
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# Create extension based on analysis
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extension_name = f"{legacy_agent_path.stem}_integration"
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config = {
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"legacy_source": str(legacy_agent_path),
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"migration_strategy": migration_strategy,
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"preserved_functionality": legacy_analysis.get("functionality", []),
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"custom_config": legacy_analysis.get("config", {})
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}
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extension = self.create_extension(
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name=extension_name,
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base_agent=target_kaizen_agent,
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extension_type=ExtensionType.WORKFLOW_INTEGRATION,
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description=f"Legacy integration of {legacy_agent_path.name}",
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configuration=config
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)
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# Create migration wrapper
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self._create_migration_wrapper(extension, legacy_agent_path)
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return extension
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def _save_extension(self, extension: AgentExtension):
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"""Save an extension to the registry."""
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extensions = self._load_extensions()
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# Remove existing extension with same name
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extensions = [ext for ext in extensions if ext.name != extension.name]
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extensions.append(extension)
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self._save_extensions(extensions)
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# Create extension directory and files
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extension_dir = self.extensions_dir / extension.name
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extension_dir.mkdir(parents=True, exist_ok=True)
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# Save extension definition
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with open(extension_dir / "extension.yml", 'w') as f:
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# Convert dataclass to dict for YAML serialization
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data = {
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'name': extension.name,
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'base_agent': extension.base_agent,
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'extension_type': extension.extension_type.value,
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'description': extension.description,
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'version': extension.version,
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'author': extension.author,
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'configuration': extension.configuration,
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'custom_commands': extension.custom_commands,
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'workflow_hooks': extension.workflow_hooks,
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'data_transformations': extension.data_transformations,
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'environment_overrides': extension.environment_overrides,
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'dependencies': extension.dependencies,
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'compatibility': extension.compatibility,
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'enabled': extension.enabled
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}
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yaml.dump(data, f, default_flow_style=False)
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def _load_extensions(self) -> List[AgentExtension]:
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"""Load all extensions from the registry."""
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if not self.config_file.exists():
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return []
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try:
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with open(self.config_file) as f:
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data = yaml.safe_load(f) or {}
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extensions = []
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for ext_data in data.get('extensions', []):
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# Convert string back to enum
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ext_data['extension_type'] = ExtensionType(ext_data['extension_type'])
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extensions.append(AgentExtension(**ext_data))
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return extensions
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except Exception:
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return []
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def _save_extensions(self, extensions: List[AgentExtension]):
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"""Save extensions to the registry."""
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self.config_file.parent.mkdir(parents=True, exist_ok=True)
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# Convert to serializable format
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data = {
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'extensions': [
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{
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'name': ext.name,
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'base_agent': ext.base_agent,
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'extension_type': ext.extension_type.value,
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'description': ext.description,
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'version': ext.version,
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'author': ext.author,
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'configuration': ext.configuration,
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'custom_commands': ext.custom_commands,
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'workflow_hooks': ext.workflow_hooks,
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'data_transformations': ext.data_transformations,
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'environment_overrides': ext.environment_overrides,
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'dependencies': ext.dependencies,
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'compatibility': ext.compatibility,
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'enabled': ext.enabled
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}
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for ext in extensions
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]
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}
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with open(self.config_file, 'w') as f:
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yaml.dump(data, f, default_flow_style=False)
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def _toggle_extension(self, name: str, enabled: bool) -> bool:
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"""Enable or disable an extension."""
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extensions = self._load_extensions()
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for extension in extensions:
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if extension.name == name:
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extension.enabled = enabled
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self._save_extensions(extensions)
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return True
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return False
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def _get_base_agent_config(self, base_agent: str) -> Dict[str, Any]:
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"""Get the base configuration for a Kaizen agent."""
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# This would load the actual agent configuration
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# For now, return a basic structure
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return {
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"name": base_agent,
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"type": "kaizen_agent",
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"enabled": True,
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"config": {}
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}
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def _apply_extension_config(
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self, base_config: Dict[str, Any], extension: AgentExtension
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) -> Dict[str, Any]:
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"""Apply an extension's configuration to the base config."""
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config = base_config.copy()
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# Apply configuration overlays
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if extension.configuration:
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config["config"].update(extension.configuration)
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# Add custom commands
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if extension.custom_commands:
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config.setdefault("custom_commands", {}).update(extension.custom_commands)
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# Apply environment overrides
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if extension.environment_overrides:
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config.setdefault("environment", {}).update(extension.environment_overrides)
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# Add extension metadata
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config.setdefault("extensions", []).append({
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"name": extension.name,
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"type": extension.extension_type.value,
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"version": extension.version
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})
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return config
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def _detect_project_type(self) -> str:
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"""Detect the type of project."""
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if (self.project_path / "pyproject.toml").exists():
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return "python"
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elif (self.project_path / "package.json").exists():
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return "nodejs"
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elif (self.project_path / "Cargo.toml").exists():
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return "rust"
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elif (self.project_path / "go.mod").exists():
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return "go"
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else:
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return "generic"
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def _analyze_legacy_agent(self, agent_path: Path) -> Dict[str, Any]:
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"""Analyze a legacy agent to understand its functionality."""
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analysis = {
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"functionality": [],
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"config": {},
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"commands": [],
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"dependencies": []
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}
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if agent_path.suffix == ".py":
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# Analyze Python agent
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content = agent_path.read_text()
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# Simple analysis - look for class and function definitions
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import re
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classes = re.findall(r'class\s+(\w+)', content)
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functions = re.findall(r'def\s+(\w+)', content)
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analysis["functionality"] = classes + functions
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elif agent_path.suffix in [".yml", ".yaml"]:
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# Analyze YAML configuration
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try:
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with open(agent_path) as f:
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data = yaml.safe_load(f)
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analysis["config"] = data
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analysis["commands"] = data.get("commands", [])
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except Exception:
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pass
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elif agent_path.suffix == ".json":
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# Analyze JSON configuration
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try:
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with open(agent_path) as f:
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data = json.load(f)
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analysis["config"] = data
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analysis["functionality"] = data.get("features", [])
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except Exception:
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pass
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return analysis
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def _create_extended_agent_file(self, extension: AgentExtension):
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"""Create an agent file for a project-specific extension."""
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agent_content = f"""---
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name: {extension.name}
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description: {extension.description}
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base_agent: {extension.base_agent}
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extension_type: {extension.extension_type.value}
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version: {extension.version}
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"""
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if extension.author:
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agent_content += f"author: {extension.author}\n"
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agent_content += "---\n\n"
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agent_content += f"# {extension.name}\n\n"
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agent_content += f"{extension.description}\n\n"
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agent_content += f"This agent extends **{extension.base_agent}** with project-specific functionality.\n\n"
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if extension.configuration.get("custom_instructions"):
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agent_content += "## Custom Instructions\n\n"
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agent_content += f"{extension.configuration['custom_instructions']}\n\n"
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if extension.custom_commands:
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agent_content += "## Custom Commands\n\n"
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for cmd, desc in extension.custom_commands.items():
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agent_content += f"- **{cmd}**: {desc}\n"
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agent_content += "\n"
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# Save to agents directory
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agents_dir = self.project_path / "agents"
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agents_dir.mkdir(exist_ok=True)
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agent_file = agents_dir / f"agent-{extension.name}.md"
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agent_file.write_text(agent_content)
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def _create_migration_wrapper(self, extension: AgentExtension, legacy_path: Path):
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"""Create a wrapper to integrate legacy agent functionality."""
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wrapper_dir = self.extensions_dir / extension.name
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wrapper_file = wrapper_dir / "legacy_wrapper.py"
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wrapper_content = f'''"""
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Legacy agent wrapper for {extension.name}
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This wrapper provides compatibility with the legacy agent at {legacy_path}
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while integrating with the Kaizen agent {extension.base_agent}.
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"""
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import sys
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from pathlib import Path
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# Add legacy agent path to system path
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legacy_path = Path("{legacy_path}").parent
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if str(legacy_path) not in sys.path:
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sys.path.insert(0, str(legacy_path))
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class LegacyWrapper:
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"""Wrapper for legacy agent functionality."""
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def __init__(self):
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self.extension_config = {extension.configuration}
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self.legacy_path = Path("{legacy_path}")
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def execute_legacy_functionality(self, *args, **kwargs):
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"""Execute legacy agent functionality."""
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# Implementation would depend on the legacy agent type
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pass
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def migrate_data(self, data):
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"""Migrate data from legacy format to Kaizen format."""
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# Implementation for data transformation
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return data
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'''
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wrapper_file.write_text(wrapper_content)
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def create_extension_template(
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name: str,
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base_agent: str,
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project_path: Path,
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template_type: str = "basic"
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) -> str:
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"""Create a template for a new agent extension."""
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templates = {
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"basic": f"""# Extension Template: {name}
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This template helps you create a custom extension for the {base_agent} agent.
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## Configuration
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```yaml
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name: {name}
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base_agent: {base_agent}
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extension_type: functional_extension
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description: "Custom extension for {base_agent}"
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version: "1.0.0"
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author: "Your Name"
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configuration:
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custom_setting: "value"
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project_specific_config: {{}}
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custom_commands:
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custom-command: "Description of custom command"
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environment_overrides:
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CUSTOM_ENV_VAR: "value"
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```
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## Implementation
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1. Define your custom configuration in the `configuration` section
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2. Add custom commands in the `custom_commands` section
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3. Override environment variables in `environment_overrides`
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4. Implement any custom logic in separate Python files
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## Usage
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Save this as `.kaizen/extensions/{name}/extension.yml` and run:
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```bash
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kaizen-agentic extensions install {name}
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```
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""",
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"advanced": f"""# Advanced Extension Template: {name}
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This template provides advanced customization options for the {base_agent} agent.
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## Full Configuration
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```yaml
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name: {name}
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base_agent: {base_agent}
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extension_type: workflow_integration
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description: "Advanced extension with workflow integration"
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version: "1.0.0"
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author: "Your Name"
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configuration:
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# Custom instructions for the agent
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custom_instructions: |
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You are working on the {project_path.name} project.
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Follow these project-specific guidelines:
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- Use our coding standards
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- Reference our documentation style
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- Integrate with our CI/CD pipeline
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# Project context
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project_context:
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name: "{project_path.name}"
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type: "python" # or nodejs, rust, etc.
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framework: "custom"
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# Custom behaviors
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behaviors:
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auto_commit: false
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generate_tests: true
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update_docs: true
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custom_commands:
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project-setup: "Initialize project structure following our standards"
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custom-deploy: "Deploy using our specific deployment pipeline"
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generate-config: "Generate project-specific configuration files"
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workflow_hooks:
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pre_action: "scripts/pre_action.py"
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post_action: "scripts/post_action.py"
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data_transformations:
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input_format: "custom"
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output_format: "kaizen_standard"
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environment_overrides:
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PROJECT_ROOT: "{project_path}"
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CUSTOM_CONFIG_PATH: "{project_path}/.config"
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dependencies:
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- "requests>=2.25.0"
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- "pyyaml>=5.0.0"
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compatibility:
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- "kaizen-agentic>=0.2.0"
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```
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## Custom Scripts
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Create these files in `.kaizen/extensions/{name}/scripts/`:
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- `pre_action.py` - Run before agent actions
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- `post_action.py` - Run after agent actions
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- `data_transform.py` - Transform data formats
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- `validation.py` - Validate project-specific requirements
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## Installation
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1. Save the configuration as `.kaizen/extensions/{name}/extension.yml`
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2. Add any custom scripts to the scripts directory
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3. Install with: `kaizen-agentic extensions install {name}`
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"""
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}
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return templates.get(template_type, templates["basic"]) |