naming typo

app/tools/odds.ts

@@ -14,7 +14,7 @@ function createOddsApi({ apiKey }: { apiKey: string }) {
         const dateFormat = 'iso';
         const regions = 'us';
         let sportKey;
-        let market;
+        let markets;
 
         // americanfootball_nfl_super_bowl_winner
         if (input.toLowerCase().includes('nba')) {
@@ -26,13 +26,13 @@ function createOddsApi({ apiKey }: { apiKey: string }) {
         }
 
         if (input.includes('money line')) {
-            market = 'h2h';
+            markets = 'spread';
         } else if (input.includes('o/u')) {
-            market = 'totals';
+            markets = 'totals';
         } else {
-            market = 'spreads';
+            markets = 'spreads';
         }
-        const activeSports = await fetch(`https://api.the-odds-api.com/v4/sports/${sportKey}/odds?apiKey=${apiKey}&oddsFormat=${oddsFormat}&dateFormat=${dateFormat}&market=${market}&regions=${regions}`);
+        const activeSports = await fetch(`https://api.the-odds-api.com/v4/sports/${sportKey}/odds?apiKey=${apiKey}&oddsFormat=${oddsFormat}&dateFormat=${dateFormat}&markets=${markets}&regions=${regions}`);
         const oddsResponse = await activeSports.json();
         return JSON.stringify(oddsResponse);
     } catch (error) {

pages/api/functions/vector-store.ts

@@ -3,7 +3,7 @@ import { MemoryVectorStore } from 'langchain/vectorstores/memory';
 import { HuggingFaceTransformersEmbeddings } from "langchain/embeddings/hf_transformers";
 
 const DEFAULT_CHUNK_SIZE = 1000;
-const VECTOR_STORE_SIZE = 5;
+const VECTOR_STORE_SIZE = 10;
 const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: DEFAULT_CHUNK_SIZE });
 
 const model = new HuggingFaceTransformersEmbeddings({