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Orchestrate Extended Thinking and Adaptive Reasoning
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Linked challenge: Recommender Multi-Agent for Complex Suggestions
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Linked challenge
Recommender Multi-Agent for Complex Suggestions
Prompt source
Original prompt text with formatting preserved for inspection.
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Configure your CrewAI agents to exhibit extended thinking. This involves defining sequential steps or conditional logic within agent tasks that allow for iterative refinement of recommendations. Implement a mechanism (e.g., using tool calls or LLM self-reflection) to adapt the 'reasoning budget' – allowing agents to spend more 'thought' cycles on particularly complex or ambiguous parts of the query, potentially leading to multiple rounds of internal deliberation.
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.