feat: add industry templates for faster agent workforce deployment

examples/cookbooks/Industry_Templates/README.md

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+# Industry Templates for PraisonAI
+
+This directory contains industry-specific agent templates based on the SRAO Framework, providing pre-built workflows for rapid deployment of agent workforces across different industries.
+
+## Overview
+
+These templates demonstrate how PraisonAI can be used to create specialized agent teams for various industries, with **70% code reuse** across different sectors through shared patterns and abstractions.
+
+## Available Templates
+
+### 1. Manufacturing (`manufacturing_template.py`)
+**Key Agents:**
+- **ParseOrder**: Extracts and structures order information from various formats
+- **CheckInventory**: Validates material availability and supply chain status  
+- **OptimizeSchedule**: Optimizes production scheduling based on constraints
+- **DefectDetect**: Quality control and defect detection
+
+**Features:**
+- Order processing with multiple input formats
+- Real-time inventory management
+- Production optimization algorithms
+- Quality inspection with defect detection
+- Fallback strategies for each critical step
+
+### 2. Energy (`energy_template.py`)
+**Key Agents:**
+- **SCADAReader**: Processes SCADA telemetry data from wind turbines
+- **VibrationAnalyzer**: Analyzes vibration patterns for predictive maintenance
+- **PowerForecaster**: Predicts power generation based on weather and history
+- **MaintenanceScheduler**: Schedules predictive maintenance
+
+**Features:**
+- Real-time wind farm monitoring
+- Vibration-based fault detection
+- Power generation forecasting
+- Grid integration and load balancing
+- Predictive maintenance scheduling
+
+### 3. Healthcare (`healthcare_template.py`)
+**Key Agents:**
+- **VitalSignsCapture**: Processes patient vital signs from monitoring devices
+- **EMRRetrieval**: Retrieves electronic medical records with HIPAA compliance
+- **TriageRecommendation**: Provides ESI-based triage recommendations
+- **ResourceAllocator**: Manages hospital resource allocation
+
+**Features:**
+- Emergency triage workflow
+- HIPAA-compliant data handling
+- Patient safety protocols
+- Resource optimization
+- Cross-department coordination
+
+### 4. Agriculture (`agriculture_template.py`)
+**Key Agents:**
+- **MultispectralAnalyzer**: Analyzes multispectral imagery for crop health
+- **DiseaseIdentifier**: Identifies crop diseases and pests using AI
+- **SprayRecommender**: Recommends targeted spraying strategies
+- **YieldPredictor**: Predicts crop yield based on conditions
+
+**Features:**
+- Precision agriculture with drone/satellite imagery
+- Pest and disease early warning system
+- Optimized chemical application
+- Yield forecasting
+- Sustainable farming patterns
+
+### 5. Transportation (`transportation_template.py`)
+**Key Agents:**
+- **LiDARFusion**: Processes LiDAR point cloud data for infrastructure
+- **DisplacementCalculator**: Calculates structural displacement
+- **HeatmapGenerator**: Generates safety visualization heatmaps
+- **MaintenancePlanner**: Plans infrastructure maintenance
+
+**Features:**
+- Tunnel/bridge safety monitoring
+- LiDAR-based structural analysis
+- Real-time safety assessment
+- Traffic flow optimization
+- Predictive maintenance scheduling
+
+## Key Features Across All Templates
+
+### 1. I/O Schemas
+Each template includes Pydantic models for structured data handling:
+- Input validation
+- Type safety
+- Clear data contracts between agents
+
+### 2. SLA Requirements
+Every agent has defined Service Level Agreements:
+- Processing time requirements
+- Response time guarantees
+- Performance benchmarks
+
+### 3. Fallback Strategies
+Robust error handling with fallback mechanisms:
+- Graceful degradation
+- Manual intervention queues
+- Conservative estimates when systems fail
+
+### 4. Cross-Industry Patterns (70% Reuse)
+Reusable base patterns that work across industries:
+- Data parsing agents
+- Resource availability checkers
+- Optimization engines
+- Inspection/quality control agents
+
+## Usage Example
+
+```python
+from manufacturing_template import (
+    order_parser,
+    inventory_checker,
+    schedule_optimizer,
+    quality_inspector,
+    manufacturing_workflow
+)
+
+# Process a manufacturing order
+order_text = "Customer ABC needs 100 units of Product-XYZ by March 15th, high priority"
+result = manufacturing_workflow(order_text)
+print(result)
+```
+
+## Adapting Templates for Your Industry
+
+### Using Base Patterns
+Each template includes reusable pattern classes that can be adapted:
+
+```python
+from manufacturing_template import IndustryAgentPattern
+
+# Create a custom data parser for any domain
+custom_parser = IndustryAgentPattern.create_data_parser(
+    name="CustomParser",
+    domain="retail",
+    sla_seconds=20
+)
+
+# Create a resource checker for any resource type
+resource_checker = IndustryAgentPattern.create_resource_checker(
+    name="StaffAvailability",
+    resource_type="customer_service_staff",
+    sla_seconds=3
+)
+```
+
+### Creating Custom Workflows
+Combine agents from different templates or create new ones:
+
+```python
+from praisonaiagents import Agent, tool
+
+# Define custom tools
+@tool
+def custom_analysis(data: str) -> Dict:
+    """Your custom analysis logic"""
+    return {"result": "analyzed"}
+
+# Create custom agent
+custom_agent = Agent(
+    name="CustomAnalyzer",
+    instructions="Your specific instructions",
+    tools=[custom_analysis]
+)
+```
+
+## Integration with PraisonAI Core
+
+These templates are built on top of PraisonAI's core Agent framework:
+
+```python
+from praisonaiagents import Agent, tool, AgentTeam, Task
+
+# Combine multiple industry agents into a team
+team = AgentTeam(
+    agents=[order_parser, inventory_checker, schedule_optimizer],
+    tasks=[
+        Task(name="parse", agent=order_parser),
+        Task(name="check", agent=inventory_checker),
+        Task(name="optimize", agent=schedule_optimizer)
+    ]
+)
+```
+
+## Best Practices
+
+1. **Start with Templates**: Use these as starting points and customize for your specific needs
+2. **Maintain SLAs**: Define clear performance requirements for each agent
+3. **Implement Fallbacks**: Always have fallback strategies for critical operations
+4. **Use Type Safety**: Leverage Pydantic models for data validation
+5. **Monitor Performance**: Track agent performance against SLAs
+6. **Iterate and Improve**: Continuously refine based on real-world usage
+
+## Contributing
+
+To add a new industry template:
+
+1. Follow the existing template structure
+2. Include all key components:
+   - I/O Schemas (Pydantic models)
+   - Agent definitions with SLAs
+   - Tools for agent capabilities
+   - Complete workflow function
+   - Fallback strategies
+   - Cross-industry patterns
+3. Add comprehensive documentation
+4. Include usage examples
+
+## License
+
+These templates are part of the PraisonAI project and follow the same licensing terms.
+
+## References
+
+Based on the [SRAO Framework](https://github.com/beixuan577/SRAO-Framework) (MIT License)

examples/cookbooks/Industry_Templates/__init__.py

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+"""
+Industry Templates for PraisonAI
+================================
+
+Pre-built agent templates for rapid deployment across different industries.
+Based on SRAO Framework with 70% cross-industry code reuse.
+
+Available templates:
+- Manufacturing: Order processing, inventory, scheduling, quality control
+- Energy: Wind farm monitoring, predictive maintenance, power forecasting
+- Healthcare: Emergency triage, EMR retrieval, resource allocation
+- Agriculture: Precision farming, pest detection, yield prediction
+- Transportation: Infrastructure monitoring, safety assessment, maintenance
+
+Example usage:
+    from Industry_Templates.manufacturing_template import manufacturing_workflow
+
+    result = manufacturing_workflow("Customer order text")
+"""
+
+__version__ = "1.0.0"
+__author__ = "PraisonAI Team"
+
+# Import the modules so they're accessible via the package
+from . import manufacturing_template
+from . import energy_template
+from . import healthcare_template
+from . import agriculture_template
+from . import transportation_template
+
+# Export commonly used items for convenience
+__all__ = [
+    "manufacturing_template",
+    "energy_template", 
+    "healthcare_template",
+    "agriculture_template",
+    "transportation_template"
+]