From 0eb96533596be986bac65506909ee2869ce36779 Mon Sep 17 00:00:00 2001
From: Dave <david.els1@outlook.com>
Date: Wed, 30 Sep 2026 23:33:13 +0200
Subject: [PATCH] chore(giellie): add MiniMax vision/tool-call probe

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
---
 scripts/smoke/giellie-vision-probe.ts | 85 +++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 scripts/smoke/giellie-vision-probe.ts

diff --git a/scripts/smoke/giellie-vision-probe.ts b/scripts/smoke/giellie-vision-probe.ts
new file mode 100644
index 0000000..b75aca8
--- /dev/null
+++ b/scripts/smoke/giellie-vision-probe.ts
@@ -0,0 +1,85 @@
+/**
+ * Probe: does the configured MiniMax endpoint accept (a) image blocks and
+ * (b) tool calls, and what content-block types come back?
+ *
+ * Read-only against PB (reads ai_settings); makes two small LLM calls.
+ *
+ * Run with:  npx tsx scripts/smoke/giellie-vision-probe.ts
+ * Requires AI enabled + key set at /settings/ai.
+ */
+import "./_env"; // MUST be first
+import Anthropic from "@anthropic-ai/sdk";
+import { createCanvas } from "@napi-rs/canvas";
+import { getActiveAiConfig } from "../../src/lib/server/ai-settings-service";
+
+async function main() {
+  const cfg = await getActiveAiConfig();
+  const client = new Anthropic({
+    apiKey: cfg.apiKey,
+    ...(cfg.baseUrl ? { baseURL: cfg.baseUrl } : {}),
+  });
+  console.log(`[probe] model=${cfg.modelId} baseUrl=${cfg.baseUrl || "(default)"}`);
+
+  // (a) Vision: render "PRICE 4471" to a PNG and ask for the number.
+  const canvas = createCanvas(400, 120);
+  const ctx = canvas.getContext("2d");
+  ctx.fillStyle = "#fff";
+  ctx.fillRect(0, 0, 400, 120);
+  ctx.fillStyle = "#000";
+  ctx.font = "48px sans-serif";
+  ctx.fillText("PRICE 4471", 20, 75);
+  const png = canvas.toBuffer("image/png").toString("base64");
+
+  try {
+    const res = await client.messages.create({
+      model: cfg.modelId,
+      max_tokens: 1024,
+      messages: [
+        {
+          role: "user",
+          content: [
+            { type: "image", source: { type: "base64", media_type: "image/png", data: png } },
+            { type: "text", text: "What number is written in the image? Reply with just the number." },
+          ],
+        },
+      ],
+    });
+    const text = res.content.map((b) => (b.type === "text" ? b.text : "")).join("");
+    const types = res.content.map((b) => b.type).join(",");
+    console.log(`[probe] VISION block types=[${types}] answer=${JSON.stringify(text.trim())}`);
+    console.log(text.includes("4471") ? "[probe] VISION: PASS" : "[probe] VISION: FAIL (answer wrong)");
+  } catch (e) {
+    console.log("[probe] VISION: FAIL (request rejected):", e instanceof Error ? e.message : e);
+  }
+
+  // (b) Tool calling.
+  try {
+    const res = await client.messages.create({
+      model: cfg.modelId,
+      max_tokens: 1024,
+      tools: [
+        {
+          name: "orders__get",
+          description: "Get an order by order number.",
+          input_schema: {
+            type: "object",
+            properties: { order_number: { type: "string" } },
+            required: ["order_number"],
+          },
+        },
+      ],
+      messages: [{ role: "user", content: "What is the status of order 12345? Use the tool." }],
+    });
+    const types = res.content.map((b) => b.type).join(",");
+    const tu = res.content.find((b) => b.type === "tool_use");
+    console.log(`[probe] TOOLS block types=[${types}] stop_reason=${res.stop_reason}`);
+    console.log(tu ? `[probe] TOOLS: PASS input=${JSON.stringify((tu as { input: unknown }).input)}` : "[probe] TOOLS: FAIL (no tool_use)");
+  } catch (e) {
+    console.log("[probe] TOOLS: FAIL (request rejected):", e instanceof Error ? e.message : e);
+  }
+}
+
+main().catch((e) => {
+  console.error(e);
+  process.exit(1);
+});