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Implement Deep Thinker Agent with Adaptive Budget

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Linked challenge: Adaptive AI Search Synthesis

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Linked challenge
Adaptive AI Search Synthesis

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Develop the 'Deep Thinker Agent' within your LangGraph system. This agent should leverage Gemini 2.5 Pro in Deep Think mode to analyze multiple retrieved documents, identify contradictions, and synthesize a coherent answer. Implement a mechanism to adapt its 'thinking budget' – for example, dynamically adjust the number of internal reasoning steps or external tool calls based on an initial complexity assessment of the query. Include a dummy 'search tool' that returns relevant text snippets.

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.