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Build AutoGen Incident Triage Agents

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

Linked challenge: Build an Automated Cyber Incident Triage System with AutoGen and Pydantic AI

Format
Code-aware
Lines
16
Sections
5
Linked challenge
Build an Automated Cyber Incident Triage System with AutoGen and Pydantic AI

Prompt source

Original prompt text with formatting preserved for inspection.

16 lines
5 sections
No variables
0 checklist items
import autogen
from pydantic import BaseModel, Field
from pydantic_ai import Agent

class ThreatReport(BaseModel):
    threat_actor_class: str
    mitre_technique_id: str = Field(pattern=r"^T\d{4}(\.\d{3})?$")
    severity: str
    remediation_action: str

# Configure AutoGen AssistantAgent and UserProxyAgent
config_list = [{"model": "gpt-4o", "api_key": "YOUR_API_KEY"}]

security_analyst = autogen.AssistantAgent(
    name="SecurityAnalyst",
    llm_config={"config_list": config_list},
    system_message="Analyze log evidence and map directly to MITRE ATT&CK techniques."
)

# Implement Pydantic AI validator agent...

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.