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Semantic Kernel Setup & Simulated SAM 3D Plugin

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Linked challenge: Multimodal 3D Object Verification

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Linked challenge
Multimodal 3D Object Verification

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Set up your Semantic Kernel environment. Create a 'SAM3DPlugin' that simulates output from Meta's SAM 3D, returning a JSON-structured 'scene_description' representing detected objects and their properties. Define functions within this plugin that your agent can call.

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.