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Integrate OpenAI o3 for Numerical Analysis and Adaptive Budgeting
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Linked challenge: Scientific Hypothesis Generation with Adaptive Thinking
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Linked challenge
Scientific Hypothesis Generation with Adaptive Thinking
Prompt source
Original prompt text with formatting preserved for inspection.
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Simulate the integration of 'OpenAI o3' as a specialized tool for numerical analysis (e.g., calculating reaction kinetics from given data). Implement a mechanism where the main GPT-5 agent determines when to call this specialized tool. Additionally, design a simple adaptive reasoning budget function that, based on the complexity or type of query (e.g., 'calculate' vs. 'summarize'), adjusts the maximum tokens or processing steps allocated to the next GPT-5 inference.
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.