Infrastructure Components#
What You’ll Learn
Gateway-First Processing Architecture:
Gateway-driven message processing with universal entry point patterns
Task extraction system converting conversations into actionable requirements
LLM-powered classification and intelligent routing for capability selection
Orchestrator-first planning with upfront execution plan generation
Adaptive response generation and sophisticated error handling with recovery
Prerequisites: Understanding of Core Framework Systems and LangGraph StateGraph concepts
Target Audience: Infrastructure developers and agentic system architects building reliable, controllable execution pipelines
The Infrastructure Components provide the intelligent processing core that makes sophisticated agentic behavior possible while maintaining the reliability and oversight required for production systems. Master these components, and you’ll understand how to build agents that combine LLM intelligence with predictable, controllable execution.
Architecture Overview#
The Alpha Berkeley Framework implements a Gateway-First, Three-Pillar Architecture that eliminates the fragility and inefficiency of traditional reactive agentic systems:
Traditional Approach:
User Query → Tool Call 1 → Analyze → Tool Call 2 → Analyze → Tool Call 3 → Response
Orchestrator-First Approach:
User Query → Complete Plan Creation → Execute All Steps → Response
Benefits: Single planning phase, full context utilization, natural human oversight, more efficient LLM usage.
The Three Pillars#
Conversational Context Compression
Converts chat history into structured, actionable tasks with resolved references and context.
Intelligent Capability Selection
LLM-powered analysis with few-shot examples to select appropriate capabilities for tasks.
Complete Execution Coordination
Creates validated execution plans with approval integration before any capability runs.
Supporting Infrastructure#
Universal Entry Point
Single message processing interface with state management and approval integration.
Adaptive Response System
Context-aware response generation with clarification workflows.
AI-Powered Recovery
Intelligent error classification with LLM-generated user explanations.
🚀 Next Steps
Now that you understand the infrastructure architecture, explore the processing pipeline:
Universal entry point for all message processing with state management and approval integration
Task extraction, classification, orchestration - the three-pillar processing flow
AI-powered error recovery with intelligent retry policies and user communication
Adaptive response generation with clarification workflows and domain customization