implementation

Configure AutoGen Audit Agents

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

Linked challenge: Build Secure Multi-Agent Security Auditing Teams with AutoGen and DeepSeek R1

Format

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Sections

Linked challenge

Build Secure Multi-Agent Security Auditing Teams with AutoGen and DeepSeek R1

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines

1 sections

No variables

0 checklist items

Initialize AutoGen UserProxyAgent and AssistantAgent instances configured with DeepSeek R1 to analyze the target codebase for security flaws.

Adaptation plan

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

Keep stable

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

Tune next

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

Verify after

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

Prompt diagnostics

Variables

Lists

Code blocks

Purpose

implementation

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

Linked challenge

Build Secure Multi-Agent Security Auditing Teams with AutoGen and DeepSeek R1

Create a multi-agent security audit system designed to detect unauthorized query vulnerabilities similar to the ServiceNow breach. Utilizing AutoGen, you will define specialized agents: a Security Scanner, a Code Auditor, and a Reporter. The system will use DeepSeek R1 for deep reasoning on vulnerability patterns and StarCoder 2 to generate secure patch suggestions. Portkey will act as the observability layer to trace inter-agent communications and latency, while Coplay AI will serve as the interactive interface for security teams to approve patches and communicate with the system.

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