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Smelter Restoration Risk Analyzer via Claude Agents SDK & Vercel AI SDK

Emirates Global Aluminium's Al-Taweelah restoration project requires live structural inspection log evaluation to detect bottlenecks. Build an autonomous agent using Claude Agents SDK and Vercel AI SDK to analyze engineering reports, compute completion percentage drift, and generate proactive mitigation steps.

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What you are building

Combine Claude Agents SDK extended thinking features with Vercel AI SDK UI streaming to construct an aluminium smelter restoration diagnostic system.

How work is evaluated

Evaluation

Validates the accuracy of estimated completion percentage and identified restoration risks from engineering audit texts.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

Completion Percentage Test

Validates that completion_percentage correctly equals 25.0.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

Risk Classification F1

Accuracy of extracted risk level classification. • target: 1 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

  • Utilize Claude Agents SDK extended reasoning to diagnose smelter restoration risks

  • Stream real-time inspection log analysis to TypeScript applications using Vercel AI SDK

  • Parse visual and textual site audit reports from EGA Al-Taweelah restoration milestones

  • Evaluate progress velocity against target milestone completions

Resources

Dataset notes

Synthetic site inspection logs and structural engineering audit notes for Emirates Global Aluminium Al-Taweelah plant restoration.

Challenge setup

Validates the accuracy of estimated completion percentage and identified restoration risks from engineering audit texts.

Challenge input

JSON object with site audit log, completed potlines count, and active structural defect descriptions.

Claude Agents SDK

Extended thinking and visual diagnostic reasoning

Vercel AI SDK

Type-safe tool execution and streaming UI components

Evaluated output

JSON object containing computed completion percentage, identified bottleneck risks, and priority score.

Evaluation checks
  • Validates that completion_percentage correctly equals 25.0.
  • Accuracy of extracted risk level classification. • target: 1 • range: 0-1
Configured evaluation evidence
  • Benchmark: GCC Heavy Industrial Audit Benchmark
  • Risk Classification F1 target: 1
  • 1 public reference case
Configured runtime
  • JavaScript execution harness
  • javascript sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • Vercel AI SDK · Required
  • Ludwig · Optional
  • Hamming · Optional
Orchestration
  • Vercel AI SDK · Required

Evaluation contract

  • Completion Percentage Test · Weight 1
  • Risk Classification F1 · Weight 1

Metrics

  • Risk Classification F1 · Target 1

Benchmarks

  • GCC Heavy Industrial Audit Benchmark
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON object with site audit log, completed potlines count, and active structural defect descriptions.

    Output: JSON object containing computed completion percentage, identified bottleneck risks, and priority score.

    Execution harness: JavaScript

Evaluation tools

  • Claude Agents SDK · Agent Framework
  • Vercel AI SDK · UI & Streaming SDK

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Smelter Restoration Risk Analyzer via Claude Agents SDK & Vercel AI SDK