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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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What you are building

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

How work is evaluated

Evaluation

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

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

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

  • 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

Dataset notes

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

Challenge setup

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

Evaluation checks
  • 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
Configured evaluation evidence
  • Benchmark: Autonomous Citizen Workflow Benchmark
  • Handoff Precision target: 1
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python 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
  • OpenAI · Required
  • Zed · Optional
  • CleverBee · Optional

Evaluation contract

  • grant_total_check · Weight 1
  • handoff_precision · Weight 1

Metrics

  • handoff_precision · Target 1

Benchmarks

  • Autonomous Citizen Workflow Benchmark
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

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

    Output: JSON containing eligible_schemes, total_grant_value_sgd, and agent_handoffs_executed

    Execution harness: Python

Evaluation tools

  • OpenAI Agents SDK · Agent Orchestration Framework

Recipe freeze marker

No recipe freeze time is recorded.

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