import { z } from "zod";
import { GenerateResearchIdeasSchema } from "../schemas/index.js";
import { makeInfraNodusRequest } from "../api/client.js";
import { generateResearchIdeas } from "../utils/transformers.js";
export const generateResearchIdeasTool = {
name: "generate_research_ideas",
definition: {
title: "Generate Research Ideas from Text",
description:
"Analyze text and generate innovative research ideas based on the content gaps identified between the topical clusters inside the text that can be used to improve the text and the discourse it relates to",
inputSchema: GenerateResearchIdeasSchema.shape,
annotations: {
"readOnlyHint": true,
"idempotentHint": true,
"destructiveHint": false
},
},
handler: async (params: z.infer<typeof GenerateResearchIdeasSchema>) => {
try {
// Build query parameters
const queryParams = new URLSearchParams({
doNotSave: "true",
addStats: "true",
optimize: "gap",
includeStatements: "false",
includeGraphSummary: "false",
extendedGraphSummary: "false",
includeGraph: "false",
aiTopics: "true",
extendedAdvice: params.useSeveralGaps ? "true" : "false",
gapDepth: params.gapDepth ? params.gapDepth.toString() : "0",
});
const endpoint = `/graphAndAdvice?${queryParams.toString()}`;
const requestBody: any = {
text: params.text,
aiTopics: "true",
requestMode: "response",
modelToUse: params.modelToUse ? params.modelToUse : "gpt-4o",
};
const response = await makeInfraNodusRequest(endpoint, requestBody);
const researchIdeas = generateResearchIdeas(response);
if (response.error) {
return {
content: [
{
type: "text" as const,
text: `Error: ${response.error}`,
},
],
isError: true,
};
}
return {
content: [
{
type: "text" as const,
text: JSON.stringify(researchIdeas, null, 2),
},
],
};
} catch (error) {
return {
content: [
{
type: "text" as const,
text: JSON.stringify({
error: error instanceof Error ? error.message : String(error),
}),
},
],
isError: true,
};
}
},
};
