Back to Prompt Library
planning|implementation

AutoGen Environment Setup and Agent Roles

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

Linked challenge: AutoGen Multi-Agent System for Media Strategic Resource Planning

Format
Code-aware
Lines
1
Sections
1
Linked challenge
AutoGen Multi-Agent System for Media Strategic Resource Planning

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Initialize an AutoGen `GroupChat` with at least three agents: a `UserProxyAgent` (representing the executive), an `AssistantAgent` acting as a 'Finance Analyst', and another `AssistantAgent` as a 'Content Strategist'. Define their roles, system messages, and use OpenAI o3 as the LLM for all agents. Implement a custom Python function `query_financial_data(metric, quarter)` that simulates querying financial data from a simple SQLite database and register it as a tool for the 'Finance Analyst'.

Adaptation plan

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

Keep stable

Preserve the source structure until you know which part of the prompt is actually driving the result quality.

Tune next

Change domain facts, examples, and tool context first before you rewrite the instruction scaffold.

Verify after

Validate one failure mode at a time so prompt changes stay attributable instead of getting noisy.