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Challenge

LifeSG Multi-Agency Citizen Service Assistant using OpenAI Agents SDK

Navigating multi-agency government benefits across major life milestones in Singapore can be challenging for families seeking personalized assistance. Build a multi-turn citizen assistant using the OpenAI Agents SDK to orchestrate LifeSG service workflows, assess eligibility for family grants, and execute multi-step government transaction applications securely.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Build an autonomous citizen service orchestrator using OpenAI Agents SDK with function calling and handoffs to streamline LifeSG multi-agency transactions.

Delivery guide

How work is evaluated

Evaluation

Evaluates OpenAI Agents SDK handoff efficiency, tool call accuracy, and grant calculation correctness across multi-turn user scenarios.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

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

grant_total_check

Verifies that total calculated grant matches official policy amounts for 2nd child

Binary check

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

Dimension 2

handoff_precision

Accuracy of agent routing based on user intent • 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

What you should walk away with

  • Construct multi-agent handoff workflows using OpenAI Agents SDK

  • Integrate custom function calling tools for Singpass profile and grant lookup

  • Evaluate eligibility across multiple Singapore government schemes (Baby Bonus, CDA, Support Grants)

  • Ensure privacy-preserving data handling in citizen service interactions

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic citizen profile records and Singapore public grant scheme eligibility schedules.

How this agent runs

Evaluates OpenAI Agents SDK handoff efficiency, tool call accuracy, and grant calculation correctness across multi-turn user scenarios.

Challenge input

JSON containing household income, child birth rank, and citizenship status

OpenAI Agents SDK

OpenAI's official framework for multi-agent handoffs, stateful threads, and function calling

Evaluated output

JSON containing eligible_schemes, total_grant_value_sgd, and agent_handoffs_executed

Checks for
  • Verifies that total calculated grant matches official policy amounts for 2nd child
  • Accuracy of agent routing based on user intent • target: 1 • range: 0-1
Proof of success
  • Benchmark: Autonomous Citizen Workflow Benchmark
  • Handoff Precision target: 1
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • OpenAI · Required
  • Zed · Optional
  • CleverBee · Optional

Evaluation contract

  • grant_total_check · Weight 1
  • handoff_precision · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about LifeSG Multi-Agency Citizen Service Assistant using OpenAI Agents SDK