prompts : json

src/base/kbot-templates.ts

@@ -128,6 +128,10 @@ const PromptRegistrySchema = z.record(PromptSchema);
 type PromptRegistry = z.infer<typeof PromptRegistrySchema>;
 
 const DEFAULT_PROMPTS: PromptRegistry = {
+    seo: {
+        template: "Analyze the following content and return a JSON object with these fields: keywords (array of max 10 strings), title (string), description (string), tags (array of max 5 strings). Format as valid JSON only.",
+        format: 'json'
+    },
     keywords: {
         template: "Return a list of max. 10 keywords that can be used for SEO purposes, separated by commas (dont comment, just the list) : ",
         format: 'text'
@@ -184,6 +188,11 @@ export const createTemplates = (context: TemplateContext = TemplateContext.COMMO
     switch (context) {
         case TemplateContext.COMMONS:
             return {
+                seo: createTemplate(config, 'seo', {
+                    router: "openai",
+                    model: "gpt-4o",
+                    ...DEFAULT_TEMPLATE_OPTIONS
+                }, 'seo'),
                 simple: createTemplate(config, 'simple', {
                     router: "openai",
                     model: "gpt-4o",

src/base/kbot.ts

@@ -30,6 +30,17 @@ export const filter = async (content: string, tpl: string = 'howto', opts: Props
     const template = typeof templates[tpl] === 'function' ? templates[tpl]() : templates[tpl];
     const options = getFilterOptions(content, template, opts);
     const result = await run(options);
+    
+    // Handle JSON format responses
+    if (template.format === 'json') {
+        try {
+            return JSON.parse(result[0] as string);
+        } catch (e) {
+            console.error('Failed to parse JSON response:', e);
+            return result[0];
+        }
+    }
+    
     return result[0] as string;
 };