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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
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agents/templates/agent_template.py
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194
agents/templates/agent_template.py
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"""
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Agent Template
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Use this template to create new agents for the BlackRoad Agent Library.
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Instructions:
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1. Copy this file to the appropriate category directory
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2. Rename the file to match your agent (e.g., my_agent.py)
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3. Update the class name (e.g., MyAgent)
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4. Fill in the metadata in __init__
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5. Implement the execute() method
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6. Optionally override validate_params(), initialize(), and cleanup()
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"""
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from typing import Any, Dict
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import sys
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from pathlib import Path
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# Add parent directory to path for imports
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from base import BaseAgent
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class TemplateAgent(BaseAgent):
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"""
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Brief description of what this agent does.
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This agent performs X, Y, and Z operations to achieve [goal].
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"""
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def __init__(self):
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"""Initialize the agent with metadata."""
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super().__init__(
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name='template-agent', # Unique identifier (lowercase, hyphens)
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description='Brief description of the agent', # One sentence
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category='custom', # Category: devops, engineering, data, etc.
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version='1.0.0', # Semantic versioning
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tags=['tag1', 'tag2', 'tag3'], # Searchable tags
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timeout=300, # Execution timeout in seconds (optional)
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retry_count=3, # Number of retries on failure (optional)
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retry_delay=5 # Delay between retries in seconds (optional)
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)
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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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This is the main method that performs the agent's work.
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Args:
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params: Dictionary containing input parameters:
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- param1 (str): Description of param1
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- param2 (int): Description of param2
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- param3 (bool, optional): Description of param3
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Returns:
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Dictionary containing results:
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{
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'status': 'success|failed',
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'data': {...}, # Your result data
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'message': 'Human-readable message',
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'metrics': {...} # Optional metrics
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}
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Raises:
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ValueError: If parameters are invalid
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Exception: If execution fails
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"""
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# Extract parameters
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param1 = params.get('param1')
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param2 = params.get('param2', 0) # Default value
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param3 = params.get('param3', False)
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self.logger.info(f"Executing {self.metadata.name} with params: {params}")
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# Your agent logic here
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# Example:
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# result = self._do_something(param1, param2)
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# Mock result for template
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result = {
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'status': 'success',
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'message': f'Successfully processed {param1}',
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'data': {
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'processed_items': 42,
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'output': 'Example output',
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'details': {
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'param1': param1,
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'param2': param2,
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'param3': param3
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}
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},
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'metrics': {
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'execution_time_ms': 123.45,
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'items_processed': 42,
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'success_rate': 1.0
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}
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}
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return result
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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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# Check required parameters
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required_params = ['param1', 'param2']
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for param in required_params:
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if param not in params:
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self.logger.error(f"Missing required parameter: {param}")
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return False
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# Type validation
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if not isinstance(params.get('param1'), str):
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self.logger.error("param1 must be a string")
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return False
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if not isinstance(params.get('param2'), int):
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self.logger.error("param2 must be an integer")
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return False
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# Value validation
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if params.get('param2', 0) < 0:
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self.logger.error("param2 must be non-negative")
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return False
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return True
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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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such as:
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- Loading configuration
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- Connecting to databases
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- Setting up resources
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"""
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await super().initialize()
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# Your initialization code here
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self.logger.info(f"Initializing {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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such as:
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- Closing connections
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- Releasing resources
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- Saving state
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"""
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await super().cleanup()
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# Your cleanup code here
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self.logger.info(f"Cleaning up {self.metadata.name}")
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# Example usage
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if __name__ == '__main__':
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import asyncio
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async def main():
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# Create agent instance
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agent = TemplateAgent()
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# Print agent info
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info = agent.get_info()
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print(f"Agent: {info['name']}")
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print(f"Description: {info['description']}")
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print(f"Category: {info['category']}")
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print(f"Version: {info['version']}")
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# Execute agent
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result = await agent.run({
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'param1': 'test-value',
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'param2': 42,
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'param3': True
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})
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print(f"\nExecution Result:")
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print(f"Status: {result.status.value}")
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print(f"Duration: {result.duration_seconds:.2f}s")
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print(f"Data: {result.data}")
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asyncio.run(main())
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