import type { LlmMessage } from "@uncaged/nerve-workflow-utils";

export type PlannerPromptParams = {
  nerveAgentContext: string;
  userPrompt: string;
  nerveRoot: string;
  workflowsDir: string;
  senseGeneratorReference: string;
  nerveYaml: string;
};

export function plannerPrompt({
  nerveAgentContext,
  userPrompt,
  nerveRoot,
  workflowsDir,
  senseGeneratorReference,
  nerveYaml,
}: PlannerPromptParams): LlmMessage[] {
  const content = `Design a Nerve workflow plan from this request.

${nerveAgentContext}

User request:
${userPrompt}

Target root: ${nerveRoot}
Workflow dir root: ${workflowsDir}

Reference structure:
\`\`\`ts
${senseGeneratorReference.slice(0, 18_000)}
\`\`\`

Current nerve.yaml:
\`\`\`yaml
${nerveYaml}
\`\`\`

Produce a complete markdown plan that includes:
- workflow name
- roles list
- flow/transitions
- validation loops design
- external deps
- data flow`;

  return [{ role: "user", content }];
}