fix(confidence-engine): use configured model for chat detection

tests/llm/provider.test.js

@@ -0,0 +1,32 @@
+import { describe, expect, it, vi } from "vitest";
+
+describe("OllamaLlmProvider chat capability detection", () => {
+  it("uses the configured model for the chat probe and keeps the chat path", async () => {
+    const originalBaseUrl = process.env.OLLAMA_BASE_URL;
+    const fetchSpy = vi.fn()
+      .mockResolvedValueOnce({ ok: true, body: { consume: vi.fn() } })
+      .mockResolvedValueOnce({
+        ok: true,
+        json: async () => ({ message: { content: "{}" } }),
+      });
+    vi.stubGlobal("fetch", fetchSpy);
+    process.env.OLLAMA_BASE_URL = "http://ollama.test";
+
+    try {
+      const { getProvider } = await import("@/lib/llm/provider.js");
+      await getProvider().generateReconstruction("prompt", "configured-model");
+
+      expect(JSON.parse(fetchSpy.mock.calls[0][1].body)).toMatchObject({
+        model: "configured-model",
+        stream: false,
+      });
+      expect(fetchSpy.mock.calls[0][0]).toBe("http://ollama.test/api/chat");
+      expect(fetchSpy.mock.calls[1][0]).toBe("http://ollama.test/api/chat");
+      expect(fetchSpy.mock.calls[1][0]).not.toContain("/api/generate");
+    } finally {
+      vi.unstubAllGlobals();
+      if (originalBaseUrl === undefined) delete process.env.OLLAMA_BASE_URL;
+      else process.env.OLLAMA_BASE_URL = originalBaseUrl;
+    }
+  });
+});