tegwick
8f5c0a7cc6
- Essential project files: .gitignore, pyproject.toml, README.md - Documentation framework: CHANGELOG.md, CONTRIBUTING.md, TODO.md, CLAUDE.md - 15 specialized agent definitions for comprehensive development workflow - Core source code structure with optimization framework - Testing infrastructure with example tests - Proper Python package structure following PythonVibes standards This establishes the complete foundation for the AI agent development framework with agent-driven workflows, continuous improvement principles, and comprehensive development infrastructure. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
62 lines
1.8 KiB
Python
62 lines
1.8 KiB
Python
"""
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Core agent infrastructure for the Kaizen Agentic framework.
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This module provides the foundational classes for creating and managing
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AI agents with continuous improvement capabilities.
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"""
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from typing import Dict, Any, Optional
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from dataclasses import dataclass
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from abc import ABC, abstractmethod
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@dataclass
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class AgentConfig:
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"""Configuration for an AI agent."""
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name: str
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description: str
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model: str = "inherit"
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instructions: Optional[str] = None
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metadata: Optional[Dict[str, Any]] = None
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def __post_init__(self):
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if self.metadata is None:
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self.metadata = {}
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class Agent(ABC):
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"""Base class for AI agents in the Kaizen framework."""
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def __init__(self, config: AgentConfig):
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self.config = config
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self.performance_history = []
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self.optimization_data = {}
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@abstractmethod
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def execute(
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self, task: str, context: Optional[Dict[str, Any]] = None
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) -> Dict[str, Any]:
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"""Execute a task and return results with performance metrics."""
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pass
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def record_performance(self, metrics: Dict[str, Any]) -> None:
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"""Record performance metrics for kaizen analysis."""
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self.performance_history.append(metrics)
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def get_optimization_data(self) -> Dict[str, Any]:
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"""Get data for optimization analysis."""
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return {
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"performance_history": self.performance_history,
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"config": self.config,
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"optimization_data": self.optimization_data,
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}
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def update_configuration(self, updates: Dict[str, Any]) -> None:
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"""Update agent configuration based on optimization insights."""
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for key, value in updates.items():
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if hasattr(self.config, key):
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setattr(self.config, key, value)
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else:
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self.config.metadata[key] = value
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