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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.
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