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Design Adaptive Reasoning Budget Logic
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Linked challenge: Agentic Sports Scheduler
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Linked challenge
Agentic Sports Scheduler
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Original prompt text with formatting preserved for inspection.
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Explain the logic for dynamically adjusting the reasoning budget (e.g., number of LLM calls, token limits, processing time) based on the LangGraph state. For instance, how would the budget increase if a high-priority constraint is violated, or decrease if a sub-problem is easily resolved? Show how this budget is tracked and utilized.
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.