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Drafting with Extended Thinking & DSPy

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

Linked challenge: A2A Policy Consensus Agents with AutoGen & Claude Opus 4.1 for National AI Strategy

Format
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Linked challenge
A2A Policy Consensus Agents with AutoGen & Claude Opus 4.1 for National AI Strategy

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
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0 checklist items
Configure a 'Policy Drafter' agent to use Claude Opus 4.1 with an adaptive thinking budget for drafting specific policy sections. Utilize DSPy to optimize the prompts for clarity, conciseness, and legal accuracy. Show how the agent processes conflicting inputs from other agents and incorporates them into a unified draft.

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.