Update ARCHITECTURE.md

ARCHITECTURE.md

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 <h2 align="center">Layer Responsibilities</h2>
  
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 ### LLM Foundation Layer
 - Tokenization and inference  
 - Prompt engineering and instruction tuning  
 - LLM APIs and adapters  
 - Context window optimization  
 - Fine-tuning, alignment, and safety grounding  
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 ### Tool & Environment Layer
 - Tool creation and structured syntax  
 - Code execution and sandboxing  
 - Safe function calling and MCP support  
 - Error handling and retries  
 - Permission, rate control, and structured I/O  
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 ### Cognitive Agent Layer
 - Task planning and decomposition  
 - Reflection loops and self-improvement  
 - Memory management  
 - Multi-turn reasoning and goal tracking  
 - Integration of external feedback  
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 ### Agentic Infrastructure Layer
 - Workflow orchestration and coordination  
 - Multi-agent communication patterns  
 - State coordination and observability  
 - Logging, monitoring, and dashboards  
 - Latency, cost optimization, and EvalOps pipelines  
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 ### Evaluation & Feedback Layer
 - Component-level evaluations  
 - Behavioral monitoring and quality metrics  
 - Error analysis and prioritization  
 - Human-in-the-loop evaluations  
 - Automated regression testing  
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 ### Development & Deployment Layer
 - Version control of agents and artifacts  
 - Continuous integration and deployment  
 - Performance benchmarking and A/B testing  
 - Cost–latency trade-off management  
 - Security, access control, and lifecycle tracking  
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 ### Governance, Ethics & Policy Layer
 - AI policies and transparency standards  
 - Fairness and bias mitigation  
 - Privacy and data protection  
 - Accountability frameworks and human-in-the-loop governance  
 - Regulatory compliance and ethical reflection  
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