testing

Benchmarking with Confident AI

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Autonomous High-Throughput Data Labeling with LlamaIndex Workflows

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Linked challenge

Autonomous High-Throughput Data Labeling with LlamaIndex Workflows

Prompt source

Original prompt text with formatting preserved for inspection.

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No variables

0 checklist items

Integrate Confident AI's DeepEval into the workflow. Write a test case that sends a batch of processed labels to Confident AI to evaluate 'Answer Relevancy' and 'Contextual Precision'. Print a report of the labeling metrics after the workflow finishes.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.

Prompt diagnostics

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Purpose

testing

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Autonomous High-Throughput Data Labeling with LlamaIndex Workflows

Reflecting the rapid revenue growth of data labeling startups like Handshake and Mercor, this challenge requires you to build a stateful, high-throughput data labeling orchestration system. Using LlamaIndex Workflows, you will design a multi-step labeling pipeline that processes diverse unstructured datasets without the use of tool orchestrations. You will use Claude Sonnet 4.6.6 for high-precision labeling and BeeAgent for domain-specific taxonomy validation. The system must include an SDK generated by Stainless for internal data ingestion and utilize Confident AI to benchmark labeling accuracy against golden datasets. For human-in-the-loop validation, you will integrate All Hands AI as the primary interface for expert reviewers to override agentic decisions.

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