chore: remove Directus CMS and related dependencies

packages/content-engine/src/orchestrator.ts

@@ -212,7 +212,11 @@ export class AiBlogPostOrchestrator {
     console.log(`✅ Saved optimized file to: ${finalPath}`);
   }
 
-  async generateSlug(content: string, title?: string, instructions?: string): Promise<string> {
+  async generateSlug(
+    content: string,
+    title?: string,
+    instructions?: string,
+  ): Promise<string> {
     const response = await this.openai.chat.completions.create({
       model: "google/gemini-3-flash-preview",
       messages: [
@@ -223,21 +227,32 @@ Return ONLY a JSON object with a single string field "slug".
 Example: {"slug": "how-to-optimize-react-performance"}
 Rules: Use lowercase letters, numbers, and hyphens only. No special characters. Keep it concise (2-5 words).`,
         },
-        { role: "user", content: `Title: ${title || "Unknown"}\n\nContent:\n${content.slice(0, 3000)}...${instructions ? `\n\nEDITOR INSTRUCTIONS:\nPlease strictly follow these instructions from the editor when generating the slug:\n${instructions}` : ""}` },
+        {
+          role: "user",
+          content: `Title: ${title || "Unknown"}\n\nContent:\n${content.slice(0, 3000)}...${instructions ? `\n\nEDITOR INSTRUCTIONS:\nPlease strictly follow these instructions from the editor when generating the slug:\n${instructions}` : ""}`,
+        },
       ],
       response_format: { type: "json_object" },
     });
 
     try {
-      const parsed = JSON.parse(response.choices[0].message.content || '{"slug": ""}');
-      let slug = parsed.slug || "new-post";
-      return slug.toLowerCase().replace(/[^a-z0-9]+/g, "-").replace(/^-+|-+$/g, "");
+      const parsed = JSON.parse(
+        response.choices[0].message.content || '{"slug": ""}',
+      );
+      const slug = parsed.slug || "new-post";
+      return slug
+        .toLowerCase()
+        .replace(/[^a-z0-9]+/g, "-")
+        .replace(/^-+|-+$/g, "");
     } catch {
       return "new-post";
     }
   }
 
-  public async generateVisualPrompt(content: string, instructions?: string): Promise<string> {
+  public async generateVisualPrompt(
+    content: string,
+    instructions?: string,
+  ): Promise<string> {
     const response = await this.openai.chat.completions.create({
       model: this.model,
       messages: [
@@ -253,7 +268,10 @@ FOCUS: The core metaphor or technical concept of the article.
 
 Example output: "A complex network of glowing fiber optic nodes forming a recursive pyramid structure, technical blue lineart style."`,
         },
-        { role: "user", content: `${content.slice(0, 5000)}${instructions ? `\n\nEDITOR INSTRUCTIONS:\nPlease strictly follow these instructions from the editor when generating the visual prompt:\n${instructions}` : ""}` },
+        {
+          role: "user",
+          content: `${content.slice(0, 5000)}${instructions ? `\n\nEDITOR INSTRUCTIONS:\nPlease strictly follow these instructions from the editor when generating the visual prompt:\n${instructions}` : ""}`,
+        },
       ],
       max_tokens: 100,
     });
@@ -329,7 +347,7 @@ Example output: "A complex network of glowing fiber optic nodes forming a recurs
       );
       const realPosts = await this.researchAgent.fetchRealSocialPosts(
         task.content.slice(0, 500),
-        task.customSources
+        task.customSources,
       );
       socialPosts.push(...realPosts);
     }