fix(payload-ai): convert server actions to api endpoints, drop @payload-config dependency

packages/payload-ai/src/endpoints/generateEndpoints.ts

@@ -0,0 +1,158 @@
+import { PayloadRequest } from "payload";
+import * as fs from "node:fs/promises";
+import * as path from "node:path";
+import * as os from "node:os";
+
+async function getOrchestrator() {
+    const OPENROUTER_KEY =
+        process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
+    const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
+
+    if (!OPENROUTER_KEY) {
+        throw new Error(
+            "Missing OPENROUTER_API_KEY in .env (Required for AI generation)",
+        );
+    }
+
+    const importDynamic = new Function("modulePath", "return import(modulePath)");
+    const { AiBlogPostOrchestrator } = await importDynamic(
+        "@mintel/content-engine",
+    );
+
+    return new AiBlogPostOrchestrator({
+        apiKey: OPENROUTER_KEY,
+        replicateApiKey: REPLICATE_KEY,
+        model: "google/gemini-3-flash-preview",
+    });
+}
+
+export const generateSlugEndpoint = async (req: PayloadRequest) => {
+    try {
+        const { title, draftContent, oldSlug, instructions } = (await req.json?.() || {}) as any;
+        const orchestrator = await getOrchestrator();
+        const newSlug = await orchestrator.generateSlug(
+            draftContent,
+            title,
+            instructions,
+        );
+
+        if (oldSlug && oldSlug !== newSlug) {
+            await req.payload.create({
+                collection: "redirects" as any,
+                data: {
+                    from: oldSlug,
+                    to: newSlug,
+                },
+            });
+        }
+
+        return Response.json({ success: true, slug: newSlug });
+    } catch (e: any) {
+        return Response.json({ success: false, error: e.message }, { status: 500 });
+    }
+}
+
+export const generateThumbnailEndpoint = async (req: PayloadRequest) => {
+    try {
+        const { draftContent, title, instructions } = (await req.json?.() || {}) as any;
+        const OPENROUTER_KEY =
+            process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
+        const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
+
+        if (!OPENROUTER_KEY) throw new Error("Missing OPENROUTER_API_KEY in .env");
+        if (!REPLICATE_KEY) throw new Error("Missing REPLICATE_API_KEY in .env");
+
+        const importDynamic = new Function("modulePath", "return import(modulePath)");
+        const { AiBlogPostOrchestrator } = await importDynamic("@mintel/content-engine");
+        const { ThumbnailGenerator } = await importDynamic("@mintel/thumbnail-generator");
+
+        const orchestrator = new AiBlogPostOrchestrator({
+            apiKey: OPENROUTER_KEY,
+            replicateApiKey: REPLICATE_KEY,
+            model: "google/gemini-3-flash-preview",
+        });
+
+        const tg = new ThumbnailGenerator({ replicateApiKey: REPLICATE_KEY });
+
+        const prompt = await orchestrator.generateVisualPrompt(
+            draftContent || title || "Technology",
+            instructions,
+        );
+
+        const tmpPath = path.join(os.tmpdir(), `mintel-thumb-${Date.now()}.png`);
+        await tg.generateImage(prompt, tmpPath);
+
+        const fileData = await fs.readFile(tmpPath);
+        const stat = await fs.stat(tmpPath);
+        const fileName = path.basename(tmpPath);
+
+        const newMedia = await req.payload.create({
+            collection: "media" as any,
+            data: {
+                alt: title ? `Thumbnail for ${title}` : "AI Generated Thumbnail",
+            },
+            file: {
+                data: fileData,
+                name: fileName,
+                mimetype: "image/png",
+                size: stat.size,
+            },
+        });
+
+        await fs.unlink(tmpPath).catch(() => { });
+
+        return Response.json({ success: true, mediaId: newMedia.id });
+    } catch (e: any) {
+        return Response.json({ success: false, error: e.message }, { status: 500 });
+    }
+}
+
+export const generateSingleFieldEndpoint = async (req: PayloadRequest) => {
+    try {
+        const { documentTitle, documentContent, fieldName, fieldDescription, instructions } = (await req.json?.() || {}) as any;
+
+        const OPENROUTER_KEY =
+            process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
+        if (!OPENROUTER_KEY) throw new Error("Missing OPENROUTER_API_KEY");
+
+        const contextDocsData = await req.payload.find({
+            collection: "context-files" as any,
+            limit: 100,
+        });
+        const projectContext = contextDocsData.docs
+            .map((doc: any) => `--- ${doc.filename} ---\n${doc.content}`)
+            .join("\n\n");
+
+        const prompt = `You are an expert AI assistant perfectly trained for generating exact data values for CMS components.
+PROJECT STRATEGY & CONTEXT:
+${projectContext}
+
+DOCUMENT TITLE: ${documentTitle}
+DOCUMENT DRAFT:\n${documentContent}\n
+YOUR TASK: Generate the exact value for a specific field named "${fieldName}".
+${fieldDescription ? `FIELD DESCRIPTION / CONSTRAINTS: ${fieldDescription}\n` : ""}
+${instructions ? `EDITOR INSTRUCTIONS for this field: ${instructions}\n` : ""}
+CRITICAL RULES:
+1. Respond ONLY with the requested content value. 
+2. NO markdown wrapping blocks (like \`\`\`mermaid or \`\`\`html) around the output! Just the raw code or text.
+3. If the field implies a diagram or flow, output RAW Mermaid.js code. 
+4. If it's standard text, write professional B2B German. No quotes, no conversational filler.`;
+
+        const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
+            method: "POST",
+            headers: {
+                Authorization: `Bearer ${OPENROUTER_KEY}`,
+                "Content-Type": "application/json",
+            },
+            body: JSON.stringify({
+                model: "google/gemini-3-flash-preview",
+                messages: [{ role: "user", content: prompt }],
+            }),
+        });
+        const data = await res.json();
+        const text = data.choices?.[0]?.message?.content?.trim() || "";
+        return Response.json({ success: true, text });
+    } catch (e: any) {
+        return Response.json({ success: false, error: e.message }, { status: 500 });
+    }
+}