Improved memory recall results

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "0.8.7",
+	"version": "0.8.9",
 	"description": "AI Utility library",
 	"author": "Zak Timson",
 	"license": "MIT",

src/llm.ts

@@ -117,12 +117,13 @@ class LLM {
 						const score = (o ? this.cosineSimilarity(m.embeddings[0], o[0].embedding) : 0)
 							+ (q ? this.cosineSimilarity(m.embeddings[1], q[0].embedding) : 0);
 						return {...m, score};
-					}).toSorted((a: any, b: any) => a.score - b.score).slice(0, limit);
+					}).toSorted((a: any, b: any) => a.score - b.score).slice(0, limit)
+						.map(m => `- ${m.owner}: ${m.fact}`).join('\n');
 				}
 
 				options.system += '\nYou have RAG memory and will be given the top_k closest memories regarding the users query. Save anything new you have learned worth remembering from the user message using the remember tool and feel free to recall memories manually.\n';
 				const relevant = await search(message);
-				if(relevant.length) options.history.push({role: 'tool', name: 'recall', id: 'auto_recall_' + Math.random().toString(), args: {}, content: 'Things I remembered:\n' + relevant.map(m => `${m.owner}: ${m.fact}`).join('\n')});
+				if(relevant.length) options.history.push({role: 'tool', name: 'recall', id: 'auto_recall_' + Math.random().toString(), args: {}, content: `Things I remembered:\n${relevant}`});
 				options.tools = [{
 					name: 'recall',
 					description: 'Recall the closest memories you have regarding a query using RAG',

src/open-ai.ts

@@ -148,7 +148,6 @@ export class OpenAi extends LLMProvider {
 						try {
 							const args = JSONAttemptParse(toolCall.function.arguments, {});
 							const result = await tool.fn(args, options.stream, this.ai);
-							console.log(result);
 							return {role: 'tool', tool_call_id: toolCall.id, content: JSONSanitize(result)};
 						} catch (err: any) {
 							return {role: 'tool', tool_call_id: toolCall.id, content: JSONSanitize({error: err?.message || err?.toString() || 'Unknown'})};

src/tools.ts

@@ -105,7 +105,6 @@ export const JSTool: AiTool = {
 		code: {type: 'string', description: 'CommonJS javascript', required: true}
 	},
 	fn: async (args: {code: string}) => {
-		console.log('executing js')
 		const c = consoleInterceptor(null);
 		const resp = await Fn<any>({console: c}, args.code, true).catch((err: any) => c.output.error.push(err));
 		return {...c.output, return: resp, stdout: undefined, stderr: undefined};