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Build OpenAI Agents SDK Audit Agent

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

Linked challenge: Build an M&A Technical Due Diligence Agent with OpenAI Agents SDK

Format
Code-aware
Lines
13
Sections
5
Linked challenge
Build an M&A Technical Due Diligence Agent with OpenAI Agents SDK

Prompt source

Original prompt text with formatting preserved for inspection.

13 lines
5 sections
No variables
0 checklist items
from openai import OpenAI
from openai.agents import Agent, Runner

client = OpenAI()

# Define agent tools for license scanning
def scan_dependency_licenses(dependencies: list[str]) -> dict:
    # Scan dependencies against license database...
    pass

audit_agent = Agent(
    name="M&A Code Auditor",
    instructions="Scan target company dependencies and evaluate licensing risk for M&A due diligence.",
    tools=[scan_dependency_licenses]
)

# Run agent flow...

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.