AI Architecture
Human-in-the-Loop (HITL) in AI Agents: Breakpoints, State Editing & Approval Gates
Safeguard high-risk operations (wire transfers, DB mutations, email sending) by implementing human-in-the-loop approval gates in LangGraph.
LangGraph interrupt_before Mechanism
Setting `interrupt_before=['payment_node']` halts the graph execution state and persists it to a database. The workflow only resumes once an authorized human verifies or modifies the proposed payload.
Related Technical Guides
Deepen your understanding with these closely related production architectures and tutorials:
2026 Frontier Stack: LangGraph Checkpointing, Mem0 Scoped Memory & Prefix Caching FinOps
Architect enterprise AI agents with decoupled lifecycles: prompt KV-cache optimization (90% savings), LangGraph state persistence, and Mem0 long-term memory.
Model Context Protocol (MCP) Guide: Connecting LLMs to Local Databases and Tools
Learn the open-source Model Context Protocol (MCP) standard created by Anthropic and how it turns LLMs into extensible agents connected to your infrastructure.
Prompt Caching Architecture: Slashing LLM API Costs and Latency by 90% via KV-Cache Reuse
Master Anthropic and Gemini Prompt Caching to slash API bills and reduce latency on long documents, system instructions, and multi-turn chats.