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Agentic Systems with LangGraph
Module 6
Lesson 2 of 4
06.02 · Shipping to production

Cost caps and budgets

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22/24
Course outline
Module 1
Why graphs beat chains
4
  • 01.01The limits of linear chains
  • 01.02State machines for LLM apps
  • 01.03Anatomy of a LangGraph app
  • 01.04Setting up your workspace
Module 2
Nodes, edges and state
4
  • 02.01Typed state with Pydantic
  • 02.02Conditional edges
  • 02.03Cycles and termination
  • 02.04Parallel branches
Module 3
Tools and memory
4
  • 03.01Tool calling patterns
  • 03.02Short vs long-term memory
  • 03.03Vector memory with pgvector
  • 03.04Sharing state across sessions
Module 4
Human in the loop
4
  • 04.01Interrupts and approvals
  • 04.02Editable intermediate state
  • 04.03Streaming partial results
  • 04.04Approval UIs
Module 5
Observability & evals
4
  • 05.01Tracing every step
  • 05.02Replay and time-travel debugging
  • 05.03Golden-set evaluations
  • 05.04Regression alerts
Module 6
Shipping to production
4
  • 06.01Concurrency and rate limits
  • 06.02Cost caps and budgets
  • 06.03Deploying on serverless
  • 06.04Capstone: research agent
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