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Setup OpenAI Credit Risk Intervention Agent
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Credit Card Default Risk & Intervention Agent with OpenAI Agents SDK
Format
Code-aware
Lines
10
Sections
4
Linked challenge
Credit Card Default Risk & Intervention Agent with OpenAI Agents SDK
Prompt source
Original prompt text with formatting preserved for inspection.
10 lines
4 sections
No variables
0 checklist items
from openai import OpenAI
client = OpenAI()
def get_borrower_metrics(account_id: str):
# Tool function returning credit telemetry
return {"utilization": 0.92, "delinquencies": 2}
agent_instructions = """
You are a credit risk intervention specialist for a UK retail bank.
Analyze borrower credit metrics, assess default risk under current UK economic pressures,
and recommend appropriate forbearance options complying with FCA guidelines.
"""
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.