refactor: move model info to constants

- Added EMBEDDING_MODEL and RERANKER_MODEL to `constants.ts`.
- Updated imports to use these constants in `agent.ts`, `agent_tools/reranker.ts`, and `setup/ingest.ts`.
- Replaced hard‑coded model strings with the new constants for Ollama embeddings and reranker.

agent.ts

@@ -11,10 +11,10 @@ import {
   createSectionRetrieverTool,
   createSpecRetrieverTool,
 } from "./agent_tools";
-import { GRAPH_FILE, STORAGE_DIR } from "./constants";
+import { EMBEDDING_MODEL, GRAPH_FILE, STORAGE_DIR } from "./constants";
 
 const embeddings = new OllamaEmbeddings({
-  model: "qwen3-embedding:0.6b",
+  model: EMBEDDING_MODEL,
 });
 
 const config = JSON.parse(fs.readFileSync("./config.json", "utf-8"));

agent_tools/reranker.ts

@@ -3,7 +3,8 @@
  * Uses Ollama's reranker API to score documents against a query.
  */
 
-const RERANKER_MODEL = "dengcao/Qwen3-Reranker-0.6B:Q8_0";
+import { RERANKER_MODEL } from "../constants";
+
 const OLLAMA_HOST = process.env.OLLAMA_HOST || "http://localhost:11434";
 
 export interface RerankResult<T> {

constants.ts

@@ -2,3 +2,7 @@ export const STORAGE_DIR = "./storage";
 export const SPEC_DIR = "./spec-built/multipage";
 export const CODE_DIR = "./engine262/src";
 export const GRAPH_FILE = "./graphology/graph.json";
+
+// Model configurations
+export const EMBEDDING_MODEL = "qwen3-embedding:0.6b";
+export const RERANKER_MODEL = "dengcao/Qwen3-Reranker-0.6B:Q8_0";

setup/ingest.ts

@@ -9,10 +9,10 @@ import { RecursiveCharacterTextSplitter } from "@langchain/textsplitters";
 import * as cheerio from "cheerio";
 import { glob } from "glob";
 import ora from "ora";
-import { SPEC_DIR, STORAGE_DIR } from "../constants";
+import { EMBEDDING_MODEL, SPEC_DIR, STORAGE_DIR } from "../constants";
 
 const embeddings = new OllamaEmbeddings({
-  model: "qwen3-embedding:0.6b",
+  model: EMBEDDING_MODEL,
 });
 
 const htmlSplitter = new RecursiveCharacterTextSplitter({