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testing
Testing and Optimization of Multi-Agent Collaboration
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build A2A MCP Agents for Enterprise IT & Accounting Automation
Format
Text-first
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Linked challenge
Build A2A MCP Agents for Enterprise IT & Accounting Automation
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Test both implemented workflows with various sample inputs, including valid, invalid, and edge-case scenarios. Analyze agent interaction logs to identify bottlenecks or communication failures. Propose and implement optimizations for agent prompts, adaptive thinking budgets, or LangGraph transitions to improve efficiency and accuracy. Document your testing methodology and results.
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 rubric, target behavior, and pass-fail criteria as the baseline for evaluation.
Tune next
Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.
Verify after
Make sure the prompt catches regressions instead of just mirroring the happy-path examples.