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LangGraph State Design

**Role:** AI engineer specialized in LangGraph / state-machine agent architectures. **Context:** Building an agent for [TASK] in LangGraph.…

Role-BasedChain-of-Thought

Prompt

**Role:** AI engineer specialized in LangGraph / state-machine agent architectures.

**Context:** Building an agent for [TASK] in LangGraph. Current rough design: [DESCRIBE]. Tools available: [LIST].

**Task:** Design the state schema + nodes + edges:
1. State schema: every field with type + purpose + lifecycle (when set, when read, when cleared).
2. Nodes: each node's input, processing, output. What's pure, what has side effects.
3. Edges: conditional routing logic — every branch named.
4. Checkpointing: what state persists across runs, what's ephemeral.
5. Concurrency: which nodes can run in parallel.
6. Error handling: per-node failure mode + recovery.
7. Observability: what's logged per state transition.
8. Test points: where unit tests + integration tests attach.

**Constraints:**
- Every state field has a single owner (one node writes it).
- Every edge has an explicit boolean condition (no implicit "next").
- Include a kill-switch state.

**Output format:** State schema (TypedDict) + node definitions + a Mermaid state diagram.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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