mirror of
https://github.com/blackboxprogramming/BlackRoad-Operating-System.git
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919e9db7c9
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
96 lines
2.5 KiB
Python
96 lines
2.5 KiB
Python
"""
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BlackRoad Agent Library
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The world's largest production-ready AI agent ecosystem.
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Features:
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- 208+ pre-built agents across 10 categories
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- Production-grade base framework
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- Agent orchestration and execution
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- Parallel and sequential execution
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- Dependency management
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- Configuration management
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- Comprehensive monitoring
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Quick Start:
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>>> from agents.base import AgentRegistry, AgentExecutor
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>>> registry = AgentRegistry()
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>>> executor = AgentExecutor()
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>>> agent = registry.get_agent('deployment-agent')
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>>> result = await executor.execute(agent, {'platform': 'railway'})
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Categories:
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- DevOps (28 agents): Deployment, monitoring, infrastructure
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- Engineering (30 agents): Code generation, testing, documentation
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- Data (25 agents): ETL, analysis, visualization
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- Security (20 agents): Scanning, compliance, threat detection
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- Finance (20 agents): Trading, portfolio management, risk analysis
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- Creative (20 agents): Content generation, SEO, translation
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- Business (20 agents): CRM, automation, project management
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- Research (15 agents): Literature review, experiments, data analysis
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- Web (15 agents): Scraping, API integration, webhooks
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- AI/ML (15 agents): Training, deployment, monitoring
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"""
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__version__ = '1.0.0'
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__author__ = 'BlackRoad Corporation'
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from .base import (
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BaseAgent,
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AgentStatus,
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AgentMetadata,
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AgentResult,
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AgentExecutor,
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ExecutionPlan,
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OrchestrationResult,
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AgentRegistry,
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ConfigManager,
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get_config,
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init_config,
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AgentConfig,
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)
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__all__ = [
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'BaseAgent',
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'AgentStatus',
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'AgentMetadata',
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'AgentResult',
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'AgentExecutor',
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'ExecutionPlan',
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'OrchestrationResult',
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'AgentRegistry',
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'ConfigManager',
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'get_config',
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'init_config',
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'AgentConfig',
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]
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def get_agent_count():
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"""Get total number of registered agents."""
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registry = AgentRegistry()
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stats = registry.get_stats()
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return stats['total_agents']
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def get_categories():
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"""Get list of all agent categories."""
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registry = AgentRegistry()
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return registry.list_categories()
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def print_stats():
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"""Print agent library statistics."""
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registry = AgentRegistry()
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stats = registry.get_stats()
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print("=" * 60)
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print("BlackRoad Agent Library Statistics")
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print("=" * 60)
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print(f"Total Agents: {stats['total_agents']}")
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print(f"Categories: {stats['total_categories']}")
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print("\nAgents by Category:")
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for category, count in sorted(stats['agents_by_category'].items()):
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print(f" {category:.<20} {count:>3} agents")
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print("=" * 60)
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