Use word count for summary (more predictable)

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "0.8.14",
+	"version": "0.8.15",
 	"description": "AI Utility library",
 	"author": "Zak Timson",
 	"license": "MIT",

src/llm.ts

@@ -387,12 +387,12 @@ class LLM {
 	/**
 	 * Create a summary of some text
 	 * @param {string} text Text to summarize
-	 * @param {number} tokens Max number of tokens
+	 * @param {number} length Max number of words
 	 * @param options LLM request options
 	 * @returns {Promise<string>} Summary
 	 */
-	async summarize(text: string, tokens: number = 500, options?: LLMRequest): Promise<string | null> {
-		let system =  `Your job is to summarize the users message using tool calls. Call the \`submit\` tool at least once with the shortest summary possible that's <= ${tokens} tokens. The tool call will respond with the token count. Responses are ignored`;
+	async summarize(text: string, length: number = 500, options?: LLMRequest): Promise<string | null> {
+		let system =  `Your job is to summarize the users message using tool calls. Call the \`submit\` tool at least once with the shortest summary possible that's <= ${length} words. The tool call will respond with the token count. Responses are ignored`;
 		if(options?.system) system += '\n\n' + options.system;
 		return new Promise(async (resolve, reject) => {
 			let done = false;
@@ -406,11 +406,11 @@ class LLM {
 					args: {summary: {type: 'string', description: 'Text summarization', required: true}},
 					fn: (args) => {
 						if(!args.summary) return 'No summary provided';
-						const count = this.estimateTokens(args.summary);
-						if(count > tokens) return `Summary is too long (${count} tokens)`;
+						const count = args.summary.split(' ').length;
+						if(count > length) return `Too long: ${length} words`;
 						done = true;
 						resolve(args.summary || null);
-						return `Saved (${count} tokens)`;
+						return `Saved: ${length} words`;
 					}
 				}, ...(options?.tools || [])],
 			});