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@amishler amishler commented Jan 7, 2026

  • Implements an autopilot tool for running a top-k variant selection task, wrapping the code in evaluations/src/topk.
  • This task seeks to identify the top performing variants from a set using an adaptive evaluation algorithm with betting-style confidence sequences.
  • The tool currently only works in embedded mode since there is no HTTP endpoint for top-k evaluation.
  • Closes Add an autopilot tool for top-K evaluations #5507

Important

Add RunTopKEvaluationTool for top-k variant evaluation in embedded mode with comprehensive client integration and testing.

  • Behavior:
    • Adds RunTopKEvaluationTool to lib.rs and mod.rs for top-k variant evaluation.
    • Implements RunTopKEvaluationTool in run_topk_evaluation.rs using adaptive evaluation with betting-style confidence sequences.
    • Only supports embedded mode; no HTTP endpoint available.
  • Client Integration:
    • Extends TensorZeroClient in client_ext.rs and embedded.rs to support run_topk_evaluation().
    • Adds RunTopKEvaluationParams and RunTopKEvaluationResponse to mod.rs.
  • Testing:
    • Adds integration tests in run_topk_evaluation_tool.rs for various scenarios including basic execution, error handling, and edge cases like dataset exhaustion.
    • Mocks run_topk_evaluation in common/mod.rs and integration.rs for testing purposes.

This description was created by Ellipsis for 8b3b9c0. You can customize this summary. It will automatically update as commits are pushed.

@amishler amishler marked this pull request as ready for review January 7, 2026 22:29
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@amishler amishler marked this pull request as draft January 8, 2026 21:57
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Add an autopilot tool for top-K evaluations

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