小橘
1683e41b05
- Rename build* → create* workflow factories - Workflow factories accept adapters: Record<string, AgentFn> - Each role file exports createXxxRole(adapter, ...) factory - _shared/workspace-committer accepts adapter as first param - All adapter imports moved to index.ts (injection point) - solve-issue roles also updated Closes #15
37 lines
1.4 KiB
TypeScript
37 lines
1.4 KiB
TypeScript
import type { AgentFn, Role, StartStep } from "@uncaged/nerve-core";
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import type { LlmExtractorConfig } from "@uncaged/nerve-workflow-utils";
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import { createRole } from "@uncaged/nerve-workflow-utils";
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import { z } from "zod";
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export const plannerMetaSchema = z.object({
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senseName: z.string().describe("kebab-case sense name from the plan"),
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});
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export type PlannerMeta = z.infer<typeof plannerMetaSchema>;
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export function plannerPrompt({ threadId }: { threadId: string }): string {
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return `You are planning a new Nerve sense.
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Read the workflow thread for the user's request: \`nerve thread ${threadId}\`
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Read the nerve-dev skill for sense conventions: \`cat node_modules/@uncaged/nerve-skills/nerve-dev/SKILL.md\`
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Also look at existing senses in the \`senses/\` directory for patterns.
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Pick a good kebab-case name for this sense. Produce a PLAN (not code) in markdown:
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## Sense Design
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### Name — kebab-case
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### Fields — name, type (integer/real/text), description
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### Compute Logic — step-by-step, specific Node.js APIs or shell commands
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### Trigger Config — group, interval, throttle, timeout
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Output ONLY the plan. Be precise and implementation-ready.`;
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}
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export function createPlannerRole(adapter: AgentFn, extract: LlmExtractorConfig): Role<PlannerMeta> {
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return createRole(
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adapter,
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async (start: StartStep) => plannerPrompt({ threadId: start.meta.threadId }),
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plannerMetaSchema,
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extract,
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);
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}
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