1import { Type } from "@sinclair/typebox";
 2import { Tool } from "./types.js";
 3
 4const ResearchParams = Type.Object({
 5  query: Type.String({ description: "The research query or question" }),
 6  depth: Type.Optional(
 7    Type.Union([Type.Literal("quick"), Type.Literal("thorough")], {
 8      description: "How deep to research: quick for fast answers, thorough for comprehensive research",
 9      default: "quick",
10    })
11  ),
12});
13
14type ResearchArgs = typeof ResearchParams.static;
15
16export function createResearchTool(): Tool<ResearchArgs> {
17  return {
18    name: "research",
19    description:
20      "Research a topic or answer a question. Use this for queries that require gathering information or analysis.",
21    parameters: ResearchParams,
22    execute: async (args) => {
23      const { query, depth = "quick" } = args;
24
25      // For now, this is a placeholder that returns a message
26      // In a full implementation, this could:
27      // - Call web search APIs
28      // - Query knowledge bases
29      // - Use RAG with local documents
30      // - Aggregate multiple sources
31
32      return JSON.stringify({
33        query,
34        depth,
35        note: "Research tool executed. In the current implementation, the LLM should answer based on its training data. Future versions will integrate web search and other data sources.",
36        suggestion:
37          "Provide your best answer based on your knowledge. If you need real-time data, inform the user that web search is not yet implemented.",
38      });
39    },
40  };
41}