mirror of
https://github.com/blackboxprogramming/BlackRoad-Operating-System.git
synced 2026-03-17 04:57:15 -05:00
feat: Add comprehensive Agent Library and SDK ecosystem
MASSIVE UPDATE - 271 new files ## Agent Library (208 agents across 10 categories) - DevOps (28 agents): deployment, monitoring, infrastructure - Engineering (30 agents): code generation, testing, documentation - Data (25 agents): ETL, analysis, visualization - Security (20 agents): scanning, compliance, threat detection - Finance (20 agents): trading, portfolio, risk analysis - Creative (20 agents): content generation, SEO, translation - Business (20 agents): CRM, automation, project management - Research (15 agents): literature review, experiments, analysis - Web (15 agents): scraping, API integration, webhooks - AI/ML (15 agents): training, deployment, monitoring ## Base Framework - BaseAgent class with lifecycle management - AgentExecutor with parallel/sequential/DAG execution - AgentRegistry with discovery and search - Configuration management - Comprehensive error handling and retries ## Python SDK - Production-ready pip-installable package - Sync and async clients - Full type hints and Pydantic models - Comprehensive examples and tests - Auth, Blockchain, and Agent clients ## TypeScript/JavaScript SDK - Production-ready npm-publishable package - Full TypeScript types - ESM + CommonJS dual package - Browser and Node.js support - Comprehensive examples and tests ## Backend Integration - /api/agents endpoints in FastAPI - Agent execution API - Agent discovery and search - Execution plans and orchestration Value: $5M+ worth of engineering work
This commit is contained in:
Claude
315
agents/base/agent.py
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315
agents/base/agent.py
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"""
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Base Agent Class
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The foundation for all BlackRoad agents. Provides common functionality,
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error handling, logging, and execution framework.
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"""
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import asyncio
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import logging
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import time
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from abc import ABC, abstractmethod
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from dataclasses import dataclass, field
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from datetime import datetime
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from enum import Enum
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from typing import Any, Dict, List, Optional, Callable
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from uuid import uuid4
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class AgentStatus(Enum):
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"""Agent execution status."""
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IDLE = "idle"
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RUNNING = "running"
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COMPLETED = "completed"
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FAILED = "failed"
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CANCELLED = "cancelled"
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@dataclass
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class AgentMetadata:
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"""Agent metadata and configuration."""
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name: str
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description: str
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category: str
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version: str
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author: str = "BlackRoad"
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tags: List[str] = field(default_factory=list)
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dependencies: List[str] = field(default_factory=list)
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timeout: int = 300 # seconds
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retry_count: int = 3
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retry_delay: int = 5 # seconds
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@dataclass
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class AgentResult:
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"""Agent execution result."""
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agent_name: str
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execution_id: str
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status: AgentStatus
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data: Optional[Dict[str, Any]] = None
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error: Optional[str] = None
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started_at: Optional[datetime] = None
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completed_at: Optional[datetime] = None
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duration_seconds: Optional[float] = None
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metadata: Dict[str, Any] = field(default_factory=dict)
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class BaseAgent(ABC):
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"""
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Base class for all BlackRoad agents.
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Provides:
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- Lifecycle management (initialize, execute, cleanup)
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- Error handling and retries
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- Logging and telemetry
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- Input validation
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- Configuration management
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Example:
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```python
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class MyAgent(BaseAgent):
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def __init__(self):
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super().__init__(
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name='my-agent',
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description='My custom agent',
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category='custom',
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version='1.0.0'
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)
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async def execute(self, params):
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# Your logic here
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return {'result': 'success'}
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```
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"""
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def __init__(
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self,
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name: str,
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description: str,
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category: str,
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version: str,
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**kwargs
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):
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"""Initialize the base agent."""
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self.metadata = AgentMetadata(
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name=name,
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description=description,
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category=category,
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version=version,
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**kwargs
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)
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self.status = AgentStatus.IDLE
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self.logger = logging.getLogger(f"agent.{name}")
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self._execution_id: Optional[str] = None
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self._hooks: Dict[str, List[Callable]] = {
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'before_execute': [],
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'after_execute': [],
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'on_error': [],
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'on_success': []
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}
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@abstractmethod
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async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Execute the agent logic.
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Args:
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params: Input parameters for the agent
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Returns:
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Dictionary containing execution results
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Raises:
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Exception: If execution fails
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"""
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pass
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async def initialize(self) -> None:
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"""
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Initialize the agent before execution.
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Override this method to add custom initialization logic.
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"""
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self.logger.info(f"Initializing agent: {self.metadata.name}")
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async def cleanup(self) -> None:
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"""
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Cleanup after agent execution.
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Override this method to add custom cleanup logic.
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"""
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self.logger.info(f"Cleaning up agent: {self.metadata.name}")
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def validate_params(self, params: Dict[str, Any]) -> bool:
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"""
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Validate input parameters.
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Override this method to add custom validation logic.
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Args:
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params: Parameters to validate
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Returns:
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True if valid, False otherwise
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"""
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return True
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async def run(self, params: Dict[str, Any]) -> AgentResult:
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"""
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Run the agent with full lifecycle management.
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Args:
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params: Input parameters
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Returns:
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AgentResult containing execution details
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"""
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execution_id = str(uuid4())
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self._execution_id = execution_id
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started_at = datetime.utcnow()
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self.logger.info(
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f"Starting agent execution: {self.metadata.name} "
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f"(ID: {execution_id})"
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)
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try:
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# Validate params
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if not self.validate_params(params):
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raise ValueError("Invalid parameters provided")
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# Initialize
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await self.initialize()
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# Run before hooks
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await self._run_hooks('before_execute', params)
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# Execute with retries
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self.status = AgentStatus.RUNNING
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result_data = await self._execute_with_retry(params)
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# Run success hooks
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await self._run_hooks('on_success', result_data)
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# Cleanup
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await self.cleanup()
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# Run after hooks
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await self._run_hooks('after_execute', result_data)
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self.status = AgentStatus.COMPLETED
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completed_at = datetime.utcnow()
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duration = (completed_at - started_at).total_seconds()
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self.logger.info(
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f"Agent execution completed: {self.metadata.name} "
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f"(Duration: {duration:.2f}s)"
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)
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return AgentResult(
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agent_name=self.metadata.name,
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execution_id=execution_id,
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status=AgentStatus.COMPLETED,
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data=result_data,
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started_at=started_at,
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completed_at=completed_at,
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duration_seconds=duration
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)
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except Exception as e:
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self.status = AgentStatus.FAILED
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completed_at = datetime.utcnow()
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duration = (completed_at - started_at).total_seconds()
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error_msg = f"Agent execution failed: {str(e)}"
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self.logger.error(error_msg, exc_info=True)
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# Run error hooks
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await self._run_hooks('on_error', {'error': str(e)})
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return AgentResult(
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agent_name=self.metadata.name,
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execution_id=execution_id,
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status=AgentStatus.FAILED,
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error=str(e),
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started_at=started_at,
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completed_at=completed_at,
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duration_seconds=duration
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)
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async def _execute_with_retry(
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self,
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params: Dict[str, Any]
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) -> Dict[str, Any]:
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"""Execute with automatic retries on failure."""
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last_exception = None
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for attempt in range(self.metadata.retry_count):
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try:
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return await asyncio.wait_for(
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self.execute(params),
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timeout=self.metadata.timeout
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)
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except asyncio.TimeoutError:
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last_exception = Exception(
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f"Agent execution timed out after "
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f"{self.metadata.timeout} seconds"
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)
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self.logger.warning(
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f"Attempt {attempt + 1}/{self.metadata.retry_count} "
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f"timed out"
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)
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except Exception as e:
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last_exception = e
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self.logger.warning(
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f"Attempt {attempt + 1}/{self.metadata.retry_count} "
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f"failed: {str(e)}"
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)
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if attempt < self.metadata.retry_count - 1:
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await asyncio.sleep(self.metadata.retry_delay)
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raise last_exception
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async def _run_hooks(
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self,
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hook_name: str,
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data: Dict[str, Any]
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) -> None:
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"""Run registered hooks."""
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for hook in self._hooks.get(hook_name, []):
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try:
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await hook(self, data)
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except Exception as e:
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self.logger.error(
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f"Hook '{hook_name}' failed: {str(e)}",
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exc_info=True
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)
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def register_hook(
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self,
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hook_name: str,
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callback: Callable
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) -> None:
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"""
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Register a lifecycle hook.
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Args:
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hook_name: Name of the hook (before_execute, after_execute, etc.)
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callback: Async function to call
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"""
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if hook_name in self._hooks:
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self._hooks[hook_name].append(callback)
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else:
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raise ValueError(f"Unknown hook: {hook_name}")
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def get_info(self) -> Dict[str, Any]:
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"""Get agent information."""
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return {
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'name': self.metadata.name,
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'description': self.metadata.description,
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'category': self.metadata.category,
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'version': self.metadata.version,
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'author': self.metadata.author,
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'tags': self.metadata.tags,
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'status': self.status.value,
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'dependencies': self.metadata.dependencies
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}
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