langgraph-architecture

SKILL.md

| Single LLM call | Direct API call | Overhead not justified | | Linear pipeline | LangChain LCEL | Simpler abstraction | | Stateless tool use | Function calling | No persistence needed | | Simple RAG | LangChain retrievers | Built-in patterns | | Batch processing | Async tasks | Different execution model |

| Lightweight, faster | Runtime validation | | Dict-like access | Attribute access | | No validation overhead | Type coercion | | Simpler serialization | Complex nested models |

Recommendation: Use TypedDict for most cases. Use Pydantic when you need validation or complex nested structures.

Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches. Source: existential-birds/beagle.

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