Back to Prompt Library
implementation
Configure AutoGen Multi-Agent Biomarker Chat
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Multi-Agent MicroRNA Biomarker Discovery for Cancer Trials with AutoGen and Claude 4 Sonnet
Format
Code-aware
Lines
8
Sections
4
Linked challenge
Multi-Agent MicroRNA Biomarker Discovery for Cancer Trials with AutoGen and Claude 4 Sonnet
Prompt source
Original prompt text with formatting preserved for inspection.
8 lines
4 sections
No variables
0 checklist items
from autogen import AssistantAgent, UserProxyAgent, GroupChat, GroupChatManager
# Define Claude 4 Sonnet agent for microRNA feature selection
config_list = [{'model': 'claude-4-sonnet', 'api_key': 'YOUR_KEY'}]
biomarker_agent = AssistantAgent(
name='Biomarker_Analyst',
llm_config={'config_list': config_list}
)
# Construct multi-agent group chat to evaluate pancreatic cancer cohortsAdaptation 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.