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Implement LangGraph Workflow for IT Ticket Automation

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Build A2A MCP Agents for Enterprise IT & Accounting Automation

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Linked challenge
Build A2A MCP Agents for Enterprise IT & Accounting Automation

Prompt source

Original prompt text with formatting preserved for inspection.

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Using LangGraph, implement the workflow for the 'Automate-IT-Ticket-Resolution' task. Your graph should incorporate at least two distinct agents, utilize RAG for knowledge base lookup, and integrate with a simulated 'UserDirectoryAPI' via MCP for user verification. Demonstrate extended thinking by handling a common edge case (e.g., user not found).

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.