LangGraph in Production — Stateful AI Agents With Checkpointing and Human-in-the-Loop
Master LangGraph for production AI agents. Learn stateful workflows, checkpointing, human-in-the-loop patterns, and deployment strategies.
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Master LangGraph for production AI agents. Learn stateful workflows, checkpointing, human-in-the-loop patterns, and deployment strategies.
Build production-grade stateful agents with LangGraph: graph definitions, Postgres checkpointing, human interrupts, streaming, error handling, and deployment.
You need to export 10 million rows. You paginate with OFFSET, fetching 1,000 rows at a time. The first batch takes 50ms. By batch 5,000 the offset is 5 million rows and each batch takes 30 seconds. The total job takes 6 hours and gets slower as it goes.
Your service elects a leader to run background jobs. The network hiccups for 5 seconds. The old leader thinks it''s still leader. The new leader also thinks it''s leader. Both start processing the same queue. Now you have duplicate work, corrupted state, and a split-brain.
LiveKit provides WebRTC infrastructure for voice agents and video. Combine with OpenAI Realtime API to build voice AI agents that listen and respond in real time.