feat: add xAI Grok adapters

tests/grok.test.ts

@@ -0,0 +1,147 @@
+import { describe, expect, it } from 'vitest';
+import {
+  createGrokAdapters,
+  createGrokImageModelAdapter,
+  createGrokStructuredModelAdapter,
+  createGrokTextModelAdapter,
+} from '../src';
+
+describe('Grok adapters', () => {
+  it('creates a text adapter that calls xAI chat completions', async () => {
+    const calls: Array<{ url: string; init?: RequestInit }> = [];
+    const adapter = createGrokTextModelAdapter({
+      apiKey: 'test-key',
+      model: 'grok-4.3-mini',
+      fetch: async (url, init) => {
+        calls.push({ url: String(url), ...(init ? { init } : {}) });
+        return new Response(JSON.stringify({
+          choices: [
+            {
+              message: {
+                content: 'hello from grok',
+              },
+            },
+          ],
+        }), {
+          status: 200,
+          headers: { 'content-type': 'application/json' },
+        });
+      },
+    });
+
+    await expect(adapter.generateText({
+      system: 'You are a helpful persona engine.',
+      prompt: 'Say hi.',
+      temperature: 0.3,
+    })).resolves.toBe('hello from grok');
+
+    expect(calls).toHaveLength(1);
+    expect(calls[0]?.url).toBe('https://api.x.ai/v1/chat/completions');
+    expect(calls[0]?.init?.method).toBe('POST');
+    expect(calls[0]?.init?.headers).toMatchObject({
+      authorization: 'Bearer test-key',
+      'content-type': 'application/json',
+    });
+
+    const body = JSON.parse(String(calls[0]?.init?.body));
+    expect(body.model).toBe('grok-4.3-mini');
+    expect(body.temperature).toBe(0.3);
+    expect(body.messages).toEqual([
+      { role: 'system', content: 'You are a helpful persona engine.' },
+      { role: 'user', content: 'Say hi.' },
+    ]);
+  });
+
+  it('creates a structured adapter that sends json_schema response_format and parses JSON', async () => {
+    const calls: Array<{ url: string; init?: RequestInit }> = [];
+    const adapter = createGrokStructuredModelAdapter({
+      apiKey: 'test-key',
+      model: 'grok-4.3',
+      fetch: async (url, init) => {
+        calls.push({ url: String(url), ...(init ? { init } : {}) });
+        return new Response(JSON.stringify({
+          choices: [
+            {
+              message: {
+                content: JSON.stringify({ biography: 'Born in Busan.' }),
+              },
+            },
+          ],
+        }), {
+          status: 200,
+          headers: { 'content-type': 'application/json' },
+        });
+      },
+    });
+
+    const schema = {
+      type: 'object',
+      required: ['biography'],
+      properties: { biography: { type: 'string' } },
+    };
+
+    await expect(adapter.generateObject<{ biography: string }>({
+      prompt: 'Write a biography.',
+      system: 'Return only JSON.',
+      schema,
+    })).resolves.toEqual({ biography: 'Born in Busan.' });
+
+    const body = JSON.parse(String(calls[0]?.init?.body));
+    expect(body.response_format).toEqual({
+      type: 'json_schema',
+      json_schema: {
+        name: 'boxbrain_structured_output',
+        schema,
+      },
+    });
+  });
+
+  it('creates an image adapter that calls xAI image generation with mapped aspect ratios', async () => {
+    const calls: Array<{ url: string; init?: RequestInit }> = [];
+    const adapter = createGrokImageModelAdapter({
+      apiKey: 'test-key',
+      model: 'grok-imagine-image-quality',
+      fetch: async (url, init) => {
+        calls.push({ url: String(url), ...(init ? { init } : {}) });
+        return new Response(JSON.stringify({
+          data: [{ url: 'https://cdn.x.ai/generated.png', revised_prompt: 'revised prompt' }],
+        }), {
+          status: 200,
+          headers: { 'content-type': 'application/json' },
+        });
+      },
+    });
+
+    await expect(adapter.generateImage({
+      prompt: 'A quiet portrait photo.',
+      aspectRatio: 'portrait',
+    })).resolves.toEqual({
+      url: 'https://cdn.x.ai/generated.png',
+      revisedPrompt: 'revised prompt',
+    });
+
+    expect(calls[0]?.url).toBe('https://api.x.ai/v1/images/generations');
+    const body = JSON.parse(String(calls[0]?.init?.body));
+    expect(body.aspect_ratio).toBe('3:4');
+    expect(body.model).toBe('grok-imagine-image-quality');
+  });
+
+  it('can create a bundled Grok adapter set with shared defaults', async () => {
+    const adapters = createGrokAdapters({
+      apiKey: 'bundle-key',
+      textModel: 'grok-4.3-mini',
+      structuredModel: 'grok-4.3',
+      imageModel: 'grok-imagine-image-quality',
+      fetch: async (_url, _init) => new Response(JSON.stringify({
+        choices: [{ message: { content: 'ok' } }],
+      }), {
+        status: 200,
+        headers: { 'content-type': 'application/json' },
+      }),
+    });
+
+    expect(adapters.text.provider).toBe('xai-grok');
+    expect(adapters.structured.model).toBe('grok-4.3');
+    expect(adapters.image.model).toBe('grok-imagine-image-quality');
+  });
+});