import { z } from "zod";
import { DevelopLatentConceptsSchema } from "../schemas/index.js";
import { makeInfraNodusRequest } from "../api/client.js";
import { extractLatentConceptsIdeas } from "../utils/transformers.js";
export const developConceptualBridgesTool = {
name: "develop_conceptual_bridges",
definition: {
title: "Develop Conceptual Bridges in Text",
description:
"Analyze text and get ideas on how to develop conceptual bridges in this text to link it to a broader discourse",
inputSchema: DevelopLatentConceptsSchema.shape,
annotations: {
"readOnlyHint": true,
"idempotentHint": true,
"destructiveHint": false
},
},
handler: async (params: z.infer<typeof DevelopLatentConceptsSchema>) => {
try {
// Build query parameters
const queryParams = new URLSearchParams({
doNotSave: "true",
addStats: "true",
optimize: "imagine",
includeStatements: "false",
includeGraphSummary: "false",
extendedGraphSummary: "true",
includeGraph: "false",
aiTopics: "true",
});
const endpoint = `/graphAndAdvice?${queryParams.toString()}`;
const requestBody: any = {
text: params.text,
aiTopics: "true",
requestMode: "question",
modelToUse: params.modelToUse ? params.modelToUse : "gpt-4o",
};
const response = await makeInfraNodusRequest(endpoint, requestBody);
const latentConceptsIdeas = extractLatentConceptsIdeas(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(latentConceptsIdeas, null, 2),
},
],
};
} catch (error) {
return {
content: [
{
type: "text" as const,
text: JSON.stringify({
error: error instanceof Error ? error.message : String(error),
}),
},
],
isError: true,
};
}
},
};
