implementation

Agent Initialization Prompt

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Linked challenge: Build a Multi-Agent Fraud Investigation System using AutoGen and Claude 3.5 Sonnet

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Linked challenge

Build a Multi-Agent Fraud Investigation System using AutoGen and Claude 3.5 Sonnet

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Original prompt text with formatting preserved for inspection.

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Initialize three AutoGen agents: 'TransactionAnalyst' (detects spikes), 'GraphResearcher' (finds connections), and 'ComplianceLead' (final verdict). Use Claude 3.5 Sonnet as the underlying LLM. Set up a GroupChat for them to discuss a batch of cross-border transactions involving Singapore and Thailand.

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Hold the task contract and output shape stable so generated implementations remain comparable.

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Update libraries, interfaces, and environment assumptions to match the stack you actually run.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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implementation

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

Linked challenge

Build a Multi-Agent Fraud Investigation System using AutoGen and Claude 3.5 Sonnet

Inspired by the recent Memorandum of Understanding between the Monetary Authority of Singapore (MAS) and the Bank of Thailand regarding digital fraud protection, this challenge tasks you with building a collaborative multi-agent system to automate financial fraud investigations. You will leverage Microsoft's AutoGen framework to orchestrate a conversation between specialized agents: a Transaction Analyst, a Network Relationship Agent (Graph Specialist), and a Compliance Officer. Your goal is to develop a system that can consume streaming transaction logs and suspicious activity reports (SARs), perform entity resolution across cross-border payment rails, and generate a structured investigation report. The Transaction Analyst will identify anomalies, the Network Relationship Agent will query a graph database to find hidden clusters (ring-fencing), and the Compliance Officer agent will cross-reference findings against the MAS and Bank of Thailand's shared fraud intelligence frameworks to determine if the activity requires a formal regulatory filing.

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