import type { AgentFn, Role, StartStep } from "@uncaged/nerve-core";
import type { LlmExtractorConfig } from "@uncaged/nerve-workflow-utils";
import { createRole } from "@uncaged/nerve-workflow-utils";
import { z } from "zod";

export const plannerMetaSchema = z.object({
  senseName: z.string().describe("kebab-case sense name from the plan"),
});
export type PlannerMeta = z.infer<typeof plannerMetaSchema>;

export function plannerPrompt({ threadId }: { threadId: string }): string {
  return `You are planning a new Nerve sense.

Read the workflow thread for the user's request: \`nerve thread ${threadId}\`
Read the nerve-dev skill for sense conventions: \`cat node_modules/@uncaged/nerve-skills/nerve-dev/SKILL.md\`
Also look at existing senses in the \`senses/\` directory for patterns.

Pick a good kebab-case name for this sense. Produce a PLAN (not code) in markdown:

## Sense Design
### Name — kebab-case
### Fields — name, type (integer/real/text), description
### Compute Logic — step-by-step, specific Node.js APIs or shell commands
### Trigger Config — group, interval, throttle, timeout

Output ONLY the plan. Be precise and implementation-ready.`;
}

export function createPlannerRole(adapter: AgentFn, extract: LlmExtractorConfig): Role<PlannerMeta> {
  return createRole(
    adapter,
    async (start: StartStep) => plannerPrompt({ threadId: start.meta.threadId }),
    plannerMetaSchema,
    extract,
  );
}