neuroverse

Instructions

Implementation Reference

• npm/src/core/rlhf.ts:27-40 (handler)

  The implementation function for logging RLHF feedback.

  export function logFeedback(intent: string, model: string, rating: number, feedbackText: string = ""): FeedbackRecord {
    const p = persistPath();
    let records: FeedbackRecord[] = [];
    if (existsSync(p)) {
      try {
        records = JSON.parse(readFileSync(p, "utf-8"));
      } catch {}
    }
    const full: FeedbackRecord = {
      id: randomUUID(), intent, model, rating, feedbackText, createdAt: new Date().toISOString()
    };
    records.push(full);
    writeFileSync(p, JSON.stringify(records, null, 2), "utf-8");
    return full;

• npm/src/index.ts:495-514 (registration)

  Registration of the neuroverse_feedback tool.

  server.registerTool(
    "neuroverse_feedback",
    {
      title: "Log RLHF Feedback",
      description: "Submit Reinforcement Learning from Human Feedback (RLHF) data for agent tuning.",
      inputSchema: FeedbackSchema,
      annotations: {
        readOnlyHint: false,
        destructiveHint: false,
        idempotentHint: false,
        openWorldHint: false,
      },
    },
    async (params) => {
      const record = logFeedback(params.intent, params.model, params.rating, params.feedback_text);
      return {
        content: [{ type: "text" as const, text: JSON.stringify(record, null, 2) }],
      };
    }
  );

• npm/src/index.ts:486-493 (schema)

  Input validation schema for the neuroverse_feedback tool.

  const FeedbackSchema = z
    .object({
      intent: z.string().min(1).describe("The intent executed"),
      model: z.string().min(1).describe("The model used"),
      rating: z.number().int().min(1).max(5).describe("Rating from 1 to 5"),
      feedback_text: z.string().optional().describe("Optional human-readable feedback"),
    })
    .strict();