"""Extension mechanisms for project-specific Kaizen agent customizations.""" import json import yaml from pathlib import Path from typing import Dict, List, Optional, Any, Union from dataclasses import dataclass, field from enum import Enum class ExtensionType(Enum): """Types of agent extensions.""" CONFIGURATION_OVERLAY = "config_overlay" # Override default configurations FUNCTIONAL_EXTENSION = "functional_extension" # Add new functionality WORKFLOW_INTEGRATION = "workflow_integration" # Integrate with project workflows CUSTOM_COMMANDS = "custom_commands" # Add custom commands DATA_TRANSFORMATION = "data_transformation" # Transform data formats ENVIRONMENT_ADAPTATION = "env_adaptation" # Adapt to specific environments @dataclass class AgentExtension: """Defines an extension to a Kaizen agent.""" name: str base_agent: str # The Kaizen agent this extends extension_type: ExtensionType description: str version: str = "1.0.0" author: Optional[str] = None # Extension configuration configuration: Dict[str, Any] = field(default_factory=dict) custom_commands: Dict[str, str] = field(default_factory=dict) workflow_hooks: Dict[str, str] = field(default_factory=dict) data_transformations: Dict[str, str] = field(default_factory=dict) environment_overrides: Dict[str, Any] = field(default_factory=dict) # Metadata dependencies: List[str] = field(default_factory=list) compatibility: List[str] = field(default_factory=list) # Compatible Kaizen versions enabled: bool = True @dataclass class ProjectExtensionRegistry: """Registry of extensions for a project.""" project_path: Path extensions: List[AgentExtension] = field(default_factory=list) global_config: Dict[str, Any] = field(default_factory=dict) class ExtensionManager: """Manages agent extensions for projects.""" def __init__(self, project_path: Path): self.project_path = Path(project_path) self.extensions_dir = self.project_path / ".kaizen" / "extensions" self.config_file = self.project_path / ".kaizen" / "extensions.yml" def create_extension( self, name: str, base_agent: str, extension_type: ExtensionType, description: str, **kwargs ) -> AgentExtension: """Create a new agent extension.""" extension = AgentExtension( name=name, base_agent=base_agent, extension_type=extension_type, description=description, **kwargs ) self._save_extension(extension) return extension def install_extension(self, extension_path: Path) -> AgentExtension: """Install an extension from a file.""" if extension_path.suffix == '.json': with open(extension_path) as f: data = json.load(f) elif extension_path.suffix in ['.yml', '.yaml']: with open(extension_path) as f: data = yaml.safe_load(f) else: raise ValueError(f"Unsupported extension file format: {extension_path.suffix}") extension = AgentExtension(**data) self._save_extension(extension) return extension def list_extensions(self, base_agent: Optional[str] = None) -> List[AgentExtension]: """List all extensions, optionally filtered by base agent.""" extensions = self._load_extensions() if base_agent: return [ext for ext in extensions if ext.base_agent == base_agent] return extensions def get_extension(self, name: str) -> Optional[AgentExtension]: """Get a specific extension by name.""" extensions = self._load_extensions() return next((ext for ext in extensions if ext.name == name), None) def enable_extension(self, name: str) -> bool: """Enable an extension.""" return self._toggle_extension(name, True) def disable_extension(self, name: str) -> bool: """Disable an extension.""" return self._toggle_extension(name, False) def remove_extension(self, name: str) -> bool: """Remove an extension.""" extensions = self._load_extensions() original_count = len(extensions) extensions = [ext for ext in extensions if ext.name != name] if len(extensions) < original_count: self._save_extensions(extensions) # Remove extension files extension_dir = self.extensions_dir / name if extension_dir.exists(): import shutil shutil.rmtree(extension_dir) return True return False def get_effective_config(self, base_agent: str) -> Dict[str, Any]: """Get the effective configuration for an agent with all extensions applied.""" base_config = self._get_base_agent_config(base_agent) extensions = [ext for ext in self._load_extensions() if ext.base_agent == base_agent and ext.enabled] # Apply extensions in order for extension in extensions: base_config = self._apply_extension_config(base_config, extension) return base_config def create_project_specific_agent( self, name: str, base_agent: str, custom_instructions: str, custom_commands: Optional[Dict[str, str]] = None, environment_config: Optional[Dict[str, Any]] = None ) -> AgentExtension: """Create a project-specific agent based on a Kaizen agent.""" # Create extension configuration config = { "custom_instructions": custom_instructions, "project_context": { "name": self.project_path.name, "path": str(self.project_path), "type": self._detect_project_type() } } if environment_config: config["environment"] = environment_config extension = self.create_extension( name=name, base_agent=base_agent, extension_type=ExtensionType.FUNCTIONAL_EXTENSION, description=f"Project-specific extension of {base_agent} for {self.project_path.name}", configuration=config, custom_commands=custom_commands or {}, environment_overrides=environment_config or {} ) # Create agent file self._create_extended_agent_file(extension) return extension def integrate_legacy_agent( self, legacy_agent_path: Path, target_kaizen_agent: str, migration_strategy: str = "preserve_functionality" ) -> AgentExtension: """Integrate a legacy agent as an extension to a Kaizen agent.""" # Analyze legacy agent legacy_analysis = self._analyze_legacy_agent(legacy_agent_path) # Create extension based on analysis extension_name = f"{legacy_agent_path.stem}_integration" config = { "legacy_source": str(legacy_agent_path), "migration_strategy": migration_strategy, "preserved_functionality": legacy_analysis.get("functionality", []), "custom_config": legacy_analysis.get("config", {}) } extension = self.create_extension( name=extension_name, base_agent=target_kaizen_agent, extension_type=ExtensionType.WORKFLOW_INTEGRATION, description=f"Legacy integration of {legacy_agent_path.name}", configuration=config ) # Create migration wrapper self._create_migration_wrapper(extension, legacy_agent_path) return extension def _save_extension(self, extension: AgentExtension): """Save an extension to the registry.""" extensions = self._load_extensions() # Remove existing extension with same name extensions = [ext for ext in extensions if ext.name != extension.name] extensions.append(extension) self._save_extensions(extensions) # Create extension directory and files extension_dir = self.extensions_dir / extension.name extension_dir.mkdir(parents=True, exist_ok=True) # Save extension definition with open(extension_dir / "extension.yml", 'w') as f: # Convert dataclass to dict for YAML serialization data = { 'name': extension.name, 'base_agent': extension.base_agent, 'extension_type': extension.extension_type.value, 'description': extension.description, 'version': extension.version, 'author': extension.author, 'configuration': extension.configuration, 'custom_commands': extension.custom_commands, 'workflow_hooks': extension.workflow_hooks, 'data_transformations': extension.data_transformations, 'environment_overrides': extension.environment_overrides, 'dependencies': extension.dependencies, 'compatibility': extension.compatibility, 'enabled': extension.enabled } yaml.dump(data, f, default_flow_style=False) def _load_extensions(self) -> List[AgentExtension]: """Load all extensions from the registry.""" if not self.config_file.exists(): return [] try: with open(self.config_file) as f: data = yaml.safe_load(f) or {} extensions = [] for ext_data in data.get('extensions', []): # Convert string back to enum ext_data['extension_type'] = ExtensionType(ext_data['extension_type']) extensions.append(AgentExtension(**ext_data)) return extensions except Exception: return [] def _save_extensions(self, extensions: List[AgentExtension]): """Save extensions to the registry.""" self.config_file.parent.mkdir(parents=True, exist_ok=True) # Convert to serializable format data = { 'extensions': [ { 'name': ext.name, 'base_agent': ext.base_agent, 'extension_type': ext.extension_type.value, 'description': ext.description, 'version': ext.version, 'author': ext.author, 'configuration': ext.configuration, 'custom_commands': ext.custom_commands, 'workflow_hooks': ext.workflow_hooks, 'data_transformations': ext.data_transformations, 'environment_overrides': ext.environment_overrides, 'dependencies': ext.dependencies, 'compatibility': ext.compatibility, 'enabled': ext.enabled } for ext in extensions ] } with open(self.config_file, 'w') as f: yaml.dump(data, f, default_flow_style=False) def _toggle_extension(self, name: str, enabled: bool) -> bool: """Enable or disable an extension.""" extensions = self._load_extensions() for extension in extensions: if extension.name == name: extension.enabled = enabled self._save_extensions(extensions) return True return False def _get_base_agent_config(self, base_agent: str) -> Dict[str, Any]: """Get the base configuration for a Kaizen agent.""" # This would load the actual agent configuration # For now, return a basic structure return { "name": base_agent, "type": "kaizen_agent", "enabled": True, "config": {} } def _apply_extension_config( self, base_config: Dict[str, Any], extension: AgentExtension ) -> Dict[str, Any]: """Apply an extension's configuration to the base config.""" config = base_config.copy() # Apply configuration overlays if extension.configuration: config["config"].update(extension.configuration) # Add custom commands if extension.custom_commands: config.setdefault("custom_commands", {}).update(extension.custom_commands) # Apply environment overrides if extension.environment_overrides: config.setdefault("environment", {}).update(extension.environment_overrides) # Add extension metadata config.setdefault("extensions", []).append({ "name": extension.name, "type": extension.extension_type.value, "version": extension.version }) return config def _detect_project_type(self) -> str: """Detect the type of project.""" if (self.project_path / "pyproject.toml").exists(): return "python" elif (self.project_path / "package.json").exists(): return "nodejs" elif (self.project_path / "Cargo.toml").exists(): return "rust" elif (self.project_path / "go.mod").exists(): return "go" else: return "generic" def _analyze_legacy_agent(self, agent_path: Path) -> Dict[str, Any]: """Analyze a legacy agent to understand its functionality.""" analysis = { "functionality": [], "config": {}, "commands": [], "dependencies": [] } if agent_path.suffix == ".py": # Analyze Python agent content = agent_path.read_text() # Simple analysis - look for class and function definitions import re classes = re.findall(r'class\s+(\w+)', content) functions = re.findall(r'def\s+(\w+)', content) analysis["functionality"] = classes + functions elif agent_path.suffix in [".yml", ".yaml"]: # Analyze YAML configuration try: with open(agent_path) as f: data = yaml.safe_load(f) analysis["config"] = data analysis["commands"] = data.get("commands", []) except Exception: pass elif agent_path.suffix == ".json": # Analyze JSON configuration try: with open(agent_path) as f: data = json.load(f) analysis["config"] = data analysis["functionality"] = data.get("features", []) except Exception: pass return analysis def _create_extended_agent_file(self, extension: AgentExtension): """Create an agent file for a project-specific extension.""" agent_content = f"""--- name: {extension.name} description: {extension.description} base_agent: {extension.base_agent} extension_type: {extension.extension_type.value} version: {extension.version} """ if extension.author: agent_content += f"author: {extension.author}\n" agent_content += "---\n\n" agent_content += f"# {extension.name}\n\n" agent_content += f"{extension.description}\n\n" agent_content += f"This agent extends **{extension.base_agent}** with project-specific functionality.\n\n" if extension.configuration.get("custom_instructions"): agent_content += "## Custom Instructions\n\n" agent_content += f"{extension.configuration['custom_instructions']}\n\n" if extension.custom_commands: agent_content += "## Custom Commands\n\n" for cmd, desc in extension.custom_commands.items(): agent_content += f"- **{cmd}**: {desc}\n" agent_content += "\n" # Save to agents directory agents_dir = self.project_path / "agents" agents_dir.mkdir(exist_ok=True) agent_file = agents_dir / f"agent-{extension.name}.md" agent_file.write_text(agent_content) def _create_migration_wrapper(self, extension: AgentExtension, legacy_path: Path): """Create a wrapper to integrate legacy agent functionality.""" wrapper_dir = self.extensions_dir / extension.name wrapper_file = wrapper_dir / "legacy_wrapper.py" wrapper_content = f'''""" Legacy agent wrapper for {extension.name} This wrapper provides compatibility with the legacy agent at {legacy_path} while integrating with the Kaizen agent {extension.base_agent}. """ import sys from pathlib import Path # Add legacy agent path to system path legacy_path = Path("{legacy_path}").parent if str(legacy_path) not in sys.path: sys.path.insert(0, str(legacy_path)) class LegacyWrapper: """Wrapper for legacy agent functionality.""" def __init__(self): self.extension_config = {extension.configuration} self.legacy_path = Path("{legacy_path}") def execute_legacy_functionality(self, *args, **kwargs): """Execute legacy agent functionality.""" # Implementation would depend on the legacy agent type pass def migrate_data(self, data): """Migrate data from legacy format to Kaizen format.""" # Implementation for data transformation return data ''' wrapper_file.write_text(wrapper_content) def create_extension_template( name: str, base_agent: str, project_path: Path, template_type: str = "basic" ) -> str: """Create a template for a new agent extension.""" templates = { "basic": f"""# Extension Template: {name} This template helps you create a custom extension for the {base_agent} agent. ## Configuration ```yaml name: {name} base_agent: {base_agent} extension_type: functional_extension description: "Custom extension for {base_agent}" version: "1.0.0" author: "Your Name" configuration: custom_setting: "value" project_specific_config: {{}} custom_commands: custom-command: "Description of custom command" environment_overrides: CUSTOM_ENV_VAR: "value" ``` ## Implementation 1. Define your custom configuration in the `configuration` section 2. Add custom commands in the `custom_commands` section 3. Override environment variables in `environment_overrides` 4. Implement any custom logic in separate Python files ## Usage Save this as `.kaizen/extensions/{name}/extension.yml` and run: ```bash kaizen-agentic extensions install {name} ``` """, "advanced": f"""# Advanced Extension Template: {name} This template provides advanced customization options for the {base_agent} agent. ## Full Configuration ```yaml name: {name} base_agent: {base_agent} extension_type: workflow_integration description: "Advanced extension with workflow integration" version: "1.0.0" author: "Your Name" configuration: # Custom instructions for the agent custom_instructions: | You are working on the {project_path.name} project. Follow these project-specific guidelines: - Use our coding standards - Reference our documentation style - Integrate with our CI/CD pipeline # Project context project_context: name: "{project_path.name}" type: "python" # or nodejs, rust, etc. framework: "custom" # Custom behaviors behaviors: auto_commit: false generate_tests: true update_docs: true custom_commands: project-setup: "Initialize project structure following our standards" custom-deploy: "Deploy using our specific deployment pipeline" generate-config: "Generate project-specific configuration files" workflow_hooks: pre_action: "scripts/pre_action.py" post_action: "scripts/post_action.py" data_transformations: input_format: "custom" output_format: "kaizen_standard" environment_overrides: PROJECT_ROOT: "{project_path}" CUSTOM_CONFIG_PATH: "{project_path}/.config" dependencies: - "requests>=2.25.0" - "pyyaml>=5.0.0" compatibility: - "kaizen-agentic>=0.2.0" ``` ## Custom Scripts Create these files in `.kaizen/extensions/{name}/scripts/`: - `pre_action.py` - Run before agent actions - `post_action.py` - Run after agent actions - `data_transform.py` - Transform data formats - `validation.py` - Validate project-specific requirements ## Installation 1. Save the configuration as `.kaizen/extensions/{name}/extension.yml` 2. Add any custom scripts to the scripts directory 3. Install with: `kaizen-agentic extensions install {name}` """ } return templates.get(template_type, templates["basic"])