mirror of
https://github.com/blackboxprogramming/BlackRoad-Operating-System.git
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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
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# BlackRoad Agent Library
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**The world's largest production-ready AI agent ecosystem.**
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## Overview
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The BlackRoad Agent Library contains 200+ pre-built, production-ready AI agents across 10 categories. Each agent is designed to be autonomous, composable, and enterprise-ready.
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## Agent Categories
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### 🛠️ DevOps & Infrastructure (30 agents)
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Agents for deployment, monitoring, infrastructure management, and site reliability.
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### 💻 Software Engineering (30 agents)
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Code generation, refactoring, testing, documentation, and debugging agents.
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### 📊 Data & Analytics (25 agents)
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Data processing, analysis, visualization, and reporting agents.
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### 🔒 Security & Compliance (20 agents)
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Security scanning, compliance checking, audit logging, and threat detection.
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### 💰 Finance & Trading (20 agents)
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Portfolio management, trading strategies, risk analysis, and financial reporting.
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### 🎨 Creative & Content (20 agents)
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Content generation, image processing, video editing, and creative automation.
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### 🤝 Business Operations (20 agents)
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CRM, project management, workflow automation, and business intelligence.
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### 🔬 Research & Development (15 agents)
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Experiment management, literature review, data collection, and hypothesis testing.
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### 🌐 Web & API (15 agents)
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Web scraping, API integration, data fetching, and webhook management.
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### 🧠 AI & Machine Learning (15 agents)
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Model training, inference, optimization, and ML pipeline management.
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## Architecture
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```
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agents/
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├── README.md # This file
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├── base/
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│ ├── agent.py # Base agent class
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│ ├── executor.py # Agent execution engine
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│ ├── registry.py # Agent discovery and registration
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│ └── config.py # Configuration management
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├── categories/
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│ ├── devops/ # DevOps agents
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│ ├── engineering/ # Engineering agents
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│ ├── data/ # Data agents
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│ ├── security/ # Security agents
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│ ├── finance/ # Finance agents
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│ ├── creative/ # Creative agents
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│ ├── business/ # Business agents
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│ ├── research/ # Research agents
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│ ├── web/ # Web agents
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│ └── ai_ml/ # AI/ML agents
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├── templates/
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│ └── agent_template.py # Template for creating new agents
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├── tests/
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│ └── test_agents.py # Comprehensive test suite
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└── examples/
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└── quickstart.py # Getting started examples
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```
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## Quick Start
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### Using an Agent
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```python
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from agents.registry import AgentRegistry
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from agents.base.executor import AgentExecutor
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# Initialize registry and executor
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registry = AgentRegistry()
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executor = AgentExecutor()
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# Get an agent
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agent = registry.get_agent('code-reviewer')
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# Execute agent
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result = executor.execute(agent, {
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'repository': 'blackboxprogramming/BlackRoad-Operating-System',
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'pr_number': 42
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})
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print(result)
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```
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### Creating a Custom Agent
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```python
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from agents.base.agent import BaseAgent
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class MyCustomAgent(BaseAgent):
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"""Custom agent for my specific use case."""
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def __init__(self):
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super().__init__(
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name='my-custom-agent',
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description='Does something amazing',
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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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"""Execute the agent logic."""
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# Your agent logic here
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return {
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'status': 'success',
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'data': 'Agent completed successfully'
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}
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```
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## Agent Capabilities
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Each agent includes:
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- ✅ **Autonomous execution** - Runs independently
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- ✅ **Error handling** - Robust error management
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- ✅ **Logging** - Comprehensive logging
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- ✅ **Configuration** - Environment-based config
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- ✅ **Validation** - Input/output validation
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- ✅ **Monitoring** - Built-in metrics and telemetry
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- ✅ **Composability** - Agents can call other agents
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- ✅ **Retries** - Automatic retry logic
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- ✅ **Rate limiting** - Built-in rate limiting
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- ✅ **Caching** - Intelligent caching strategies
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## Enterprise Features
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### Orchestration
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The agent system includes an orchestration layer for:
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- **Parallel execution** - Run multiple agents concurrently
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- **Dependency management** - Define agent dependencies
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- **Workflow pipelines** - Chain agents together
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- **Event-driven triggers** - React to system events
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### Monitoring & Observability
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- **Real-time metrics** - Track agent performance
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- **Distributed tracing** - Trace agent execution
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- **Error tracking** - Centralized error monitoring
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- **Audit logs** - Complete execution history
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### Security
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- **Authentication** - Secure agent authentication
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- **Authorization** - Role-based access control
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- **Encryption** - Encrypted agent communication
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- **Secrets management** - Secure credential storage
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## Scaling to 1000+ Agents
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The agent system is designed to scale:
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- **Horizontal scaling** - Distribute across multiple nodes
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- **Load balancing** - Automatic load distribution
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- **Resource management** - CPU/memory limits per agent
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- **Queue management** - Priority-based execution queues
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## API Integration
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Agents integrate with the BlackRoad API:
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```python
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# Expose agent via API
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from fastapi import FastAPI
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from agents.api import create_agent_router
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app = FastAPI()
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app.include_router(create_agent_router())
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# POST /api/agents/{agent_name}/execute
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# GET /api/agents (list all agents)
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# GET /api/agents/{agent_name} (get agent details)
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```
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## Documentation
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Each agent includes:
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- **README.md** - Agent documentation
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- **examples/** - Usage examples
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- **tests/** - Unit tests
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- **schema.json** - Input/output schema
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## License
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Proprietary - BlackRoad Corporation
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## Support
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For agent-related questions:
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- **Email**: agents@blackroad.io
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- **Docs**: https://docs.blackroad.io/agents
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- **Issues**: https://github.com/blackboxprogramming/BlackRoad-Operating-System/issues
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