Back to Prompt Library
implementation

Graph Workflow Implementation with GPT-5

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

Linked challenge: Graph-Based Geopolitical Incident Response with LangGraph and GPT-5

Format
Text-first
Lines
1
Sections
1
Linked challenge
Graph-Based Geopolitical Incident Response with LangGraph and GPT-5

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Implement the LangGraph workflow, defining the edges and conditional logic that govern agent transitions. Integrate GPT-5 as the primary LLM for all agents, specifically configuring it for its orchestration capabilities and its ability to handle complex reasoning. Ensure the workflow produces outputs suitable for the 'Incident Diagnosis & Impact Assessment' evaluation task.

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.