chore(release): v2.4.14 - Odin caller identity

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "app-ts",
-  "version": "2.4.13",
+  "version": "2.4.14",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "app-ts",
-      "version": "2.4.13",
+      "version": "2.4.14",
       "license": "ISC",
       "dependencies": {
         "@anthropic-ai/sdk": "^0.102.0",

package.json

@@ -1,6 +1,6 @@
 {
   "name": "app-ts",
-  "version": "2.4.13",
+  "version": "2.4.14",
   "description": "",
   "main": "dist/server.js",
   "scripts": {

src/__tests__/ai-tools.test.ts

@@ -534,6 +534,27 @@ describe("agenticChat loop (SDK mocked)", () => {
     expect(usageRows.length).toBe(2);
   });
 
+  it("injects the caller's identity into the system prompt", async () => {
+    createMock.mockReset();
+    createMock.mockResolvedValueOnce({
+      stop_reason: "end_turn",
+      content: [{ type: "text", text: "Ahoj." }],
+      usage: { input_tokens: 10, output_tokens: 5 },
+    });
+    await agenticChat([{ role: "user", content: "Kdo jsem?" }], {
+      userId: fixUserId,
+      roleName: "viewer",
+      permissions: ["attendance.record"],
+    });
+    const system: string = createMock.mock.calls[0][0].system;
+    expect(system).toContain(`${FIX.first} ${FIX.last}`);
+    expect(system).toContain(`user_id ${fixUserId}`);
+    // Cleanup the usage row this extra fixture-user turn recorded.
+    await prisma.ai_usage.deleteMany({
+      where: { user_id: fixUserId, kind: "agent" },
+    });
+  });
+
   it("a user without permissions gets NO tools passed to the model", async () => {
     createMock.mockReset();
     createMock.mockResolvedValueOnce({

src/services/ai.service.ts

@@ -257,12 +257,25 @@ export interface ToolTraceEntry {
 // Phase 2a (read-only agent). The date is interpolated so "tento měsíc"
 // questions resolve correctly — it changes once a day, which is fine because
 // this prompt is small and we don't use prompt caching here.
-function agentSystemPrompt(tools: Anthropic.Tool[]): string {
+interface CallerIdentity {
+  name: string;
+  username: string;
+  userId: number;
+}
+
+function agentSystemPrompt(
+  tools: Anthropic.Tool[],
+  caller: CallerIdentity | null,
+): string {
   const today = new Date();
   const dateStr = `${today.getFullYear()}-${String(today.getMonth() + 1).padStart(2, "0")}-${String(today.getDate()).padStart(2, "0")}`;
   const hasFindEmployee = tools.some((t) => t.name === "find_employee");
   return (
     "Jsi Odin, asistent v interním systému české firmy (docházka, fakturace, nabídky, objednávky, projekty, sklad). " +
+    (caller
+      ? `Přihlášený uživatel: ${caller.name} (user_id ${caller.userId}, username ${caller.username}). ` +
+        "Otázky v první osobě („moje docházka“, „kolik jsem najel“, „můj plán práce“) se týkají tohoto uživatele — použij jeho user_id a na identitu se nikdy neptej. "
+      : "") +
     "Odpovídej VŽDY česky, stručně a věcně; částky formátuj s měnou. " +
     "Odpovědi piš jako PROSTÝ TEXT — žádný Markdown (žádné tabulky, **tučné**, nadpisy); výčty piš jako řádky s pomlčkou. " +
     (tools.length > 0
@@ -293,6 +306,19 @@ export async function agenticChat(
   ctx: AiAuthCtx,
 ): Promise<{ reply: string; toolTrace: ToolTraceEntry[] }> {
   const tools = toolDefinitionsFor(ctx);
+  // The model must know who it is talking to — first-person questions
+  // ("moje docházka") are unanswerable otherwise. PK lookup, negligible cost.
+  const me = await prisma.users.findUnique({
+    where: { id: ctx.userId },
+    select: { first_name: true, last_name: true, username: true },
+  });
+  const caller = me
+    ? {
+        name: `${me.first_name} ${me.last_name}`.trim() || me.username,
+        username: me.username,
+        userId: ctx.userId,
+      }
+    : null;
   const convo: Anthropic.MessageParam[] = messages.map((m) => ({
     role: m.role,
     content: m.content,
@@ -305,7 +331,7 @@ export async function agenticChat(
     res = await client().messages.create({
       model: AI_MODEL,
       max_tokens: 2048,
-      system: agentSystemPrompt(tools),
+      system: agentSystemPrompt(tools, caller),
       tools: tools.length > 0 ? tools : undefined,
       messages: convo,
     });