// projectPrep.ts
import { z } from "zod";
import * as apiClient from "../api/deepwriterClient.js";
export const projectPrepInputSchema = z.object({
prompt: z.string().describe("The initial raw prompt from the user"),
title: z.string().describe("The title for the new project"),
email: z.string().email().describe("User email address")
});
export type ProjectPrepInput = z.infer<typeof projectPrepInputSchema>;
export const projectPrepTool = {
name: "projectPrep",
description: "Phase 1: Initializes a project and returns the Q&A block for the user to answer.",
async execute(args: ProjectPrepInput) {
const apiKey = process.env.DEEPWRITER_API_KEY;
if (!apiKey) throw new Error("API key required");
try {
// 1. Create
const createRes = await apiClient.createProject(apiKey, args.title, args.email);
const projectId = createRes.id;
// 2. Format
const formatRes = await apiClient.formatPrompt(apiKey, args.prompt, projectId);
const enhancedPrompt = formatRes.enhanced_prompt || formatRes.formatted_prompt || args.prompt;
const questions = formatRes.questions || [];
// Return structured data for the user (or agent) to process next
return {
content: [
{
type: "text" as const,
text: JSON.stringify({
status: "ready_for_answers",
projectId: projectId,
enhancedPrompt: enhancedPrompt,
questions: questions
}, null, 2)
}
]
};
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
throw new Error(`ProjectPrep failed: ${errorMessage}`);
}
}
};
