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Implementing Extended Thinking and Adaptive Reasoning with GPT-5

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Linked challenge: A2A Protocol Multi-Agent System for Public Safety Tech Market Analysis with OpenAI Swarm and GPT-5

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Linked challenge
A2A Protocol Multi-Agent System for Public Safety Tech Market Analysis with OpenAI Swarm and GPT-5

Prompt source

Original prompt text with formatting preserved for inspection.

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For your agents using GPT-5, implement extended thinking patterns. How will an agent determine when to perform deeper analysis (e.g., multi-step reasoning, additional data retrieval) versus a quick summary? Integrate adaptive reasoning budgets to manage token usage and computational cost based on task complexity.

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.