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Implement Hybrid Reasoning with MCP Tools

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Linked challenge: Agentic Robotics Control

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Linked challenge
Agentic Robotics Control

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Original prompt text with formatting preserved for inspection.

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Implement the core logic for your Planner agent to use hybrid instant/deep reasoning. For routine movements or immediate safety checks, use OpenAI o3 via an MCP tool for rapid responses. For complex pathfinding, object recognition, or generating novel manipulation sequences, trigger Gemini 2.5 Pro's Deep Think mode. Develop simulated MCP tools for basic robot actions like 'get_current_pose', 'move_linear', 'check_collision_risk'.

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.