Natural Language Workflow Engine
Advanced Natural Language Processing for JAEGIS Configuration
Engine Overview
This template provides the comprehensive framework for natural language workflow customization, enabling users to configure agent behavior, tool usage, and system protocols using intuitive natural language commands.
🧠 Natural Language Processing Framework
Language Understanding Architecture
natural_language_processor = {
'intent_recognition': {
'workflow_intents': {
'agent_assignment': {
'patterns': [
'use [agent] for [task_type]',
'assign [agent] to [task_category]',
'route [task_type] to [agent]',
'prefer [agent] for [task_description]'
],
'examples': [
'use Research Intelligence for all market analysis tasks',
'assign Generation Architect to complex agent creation',
'route quality assurance tasks to Task Validator'
]
},
'priority_setting': {
'patterns': [
'set [agent/task] priority to [level]',
'prioritize [agent] for [condition]',
'make [task_type] [priority_level] priority',
'urgent tasks should use [agent]'
],
'examples': [
'set Temporal Accuracy Enforcer priority to critical',
'prioritize System Coherence Monitor for integration issues',
'urgent tasks should skip Research Intelligence'
]
},
'conditional_routing': {
'patterns': [
'when [condition], use [agent]',
'if [task_attribute] is [value], route to [agent]',
'for [task_type] with [condition], prefer [agent]',
'always activate [agent] when [trigger]'
],
'examples': [
'when task complexity is high, use Workflow Orchestrator',
'if urgency is critical, skip standard validation',
'always activate Temporal Accuracy Enforcer for date-related tasks'
]
}
},
'tool_configuration_intents': {
'usage_frequency': {
'patterns': [
'use [tool] [frequency] for [task_type]',
'set [tool] threshold to [percentage]',
'increase/decrease [tool] usage',
'optimize [tool] for [performance_aspect]'
],
'examples': [
'use web search frequently for research tasks',
'set codebase retrieval threshold to 85%',
'optimize browser automation for speed'
]
},
'tool_preferences': {
'patterns': [
'prefer [tool] over [tool] for [task_type]',
'use [tool] as fallback for [tool]',
'avoid [tool] for [task_type]',
'always use [tool] for [specific_task]'
],
'examples': [
'prefer web search over codebase retrieval for external research',
'use browser automation as fallback for web search',
'always use file operations for document management'
]
}
},
'protocol_intents': {
'rule_creation': {
'patterns': [
'when [condition], [action]',
'if [trigger], then [response]',
'always [action] when [condition]',
'require [validation] for [task_type]'
],
'examples': [
'when quality validation fails twice, escalate to human review',
'if system errors exceed 5%, reduce all parameters by 20%',
'require dual validation for financial data processing'
]
}
}
}
}Entity Extraction System
🔄 Workflow Rule Generation Engine
Rule Processing Pipeline
Intelligent Rule Examples
🎯 Workflow Customization Interface
Interactive Rule Builder
Rule Modification Interface
🧪 Rule Testing & Simulation Engine
Rule Simulation Framework
Interactive Testing Interface
📈 Performance Analytics & Optimization
Rule Performance Monitoring
Continuous Learning System
This comprehensive natural language workflow engine enables intuitive, intelligent configuration of JAEGIS system behavior through natural language commands, with advanced processing, validation, testing, and optimization capabilities that ensure optimal system performance and user satisfaction.
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