feat: add model-aware DSH image input

DeepSeek Harness previously treated every selected model as text-only. It now carries the model profile's image capability through Main, the Utility Host, ACP, and Pi-AI, rejects unsupported images before model invocation, and validates supported JPEG/PNG data in a bounded process-local attachment store.

The Composer keeps universal controls on its first row, places OpenCode and Continue controls on a dedicated responsive row, and anchors context compaction without shifting the footer. Runtime supervision ownership for future Subagents and Jobs is documented for the right sidebar.

Release note: DeepSeek Harness 现可按所选模型连接的能力安全接收 JPEG/PNG 图片；Composer 同时将 Runtime 专属选择器移到独立一行，并固定上下文压缩入口。

src/main/agent/goodbuddy-harness-attachment-store.test.ts

@@ -0,0 +1,133 @@
+// @vitest-environment node
+import { Context } from '@deepseek-ai/cordis'
+import { createCanvas } from '@napi-rs/canvas'
+import { describe, expect, it } from 'vitest'
+import { GoodBuddyHarnessAttachmentStore } from './goodbuddy-harness-attachment-store'
+
+const canvas = createCanvas(1, 1)
+const transparentPng = canvas.toBuffer('image/png')
+const jpeg = canvas.toBuffer('image/jpeg')
+const secondPng = createCanvas(2, 1).toBuffer('image/png')
+
+describe('GoodBuddy Harness attachment store', () => {
+  it('decodes, stores, verifies, and releases inline images', async () => {
+    const store = new GoodBuddyHarnessAttachmentStore(new Context())
+    const input = {
+      data: transparentPng,
+      mediaType: 'image/png' as const,
+      name: '..\\screenshots\\reference.png'
+    }
+
+    const first = await store.saveImage(input)
+    const second = await store.saveImage(input)
+
+    expect(first).toEqual(second)
+    expect(first).toMatchObject({
+      mediaType: 'image/png',
+      bytes: transparentPng.byteLength,
+      width: 1,
+      height: 1,
+      name: 'reference.png'
+    })
+    const stored = await store.readImage(first)
+    expect(stored.ref).toBe(first)
+    expect(Buffer.from(stored.data).equals(transparentPng)).toBe(true)
+
+    store.releaseImage(first)
+    await expect(store.readImage(first)).resolves.toBeDefined()
+    store.releaseImage(second)
+    await expect(store.readImage(first)).rejects.toMatchObject({
+      code: 'NOT_FOUND'
+    })
+
+    const jpegRef = await store.saveImage({
+      data: jpeg,
+      mediaType: 'image/jpeg'
+    })
+    expect(jpegRef).toMatchObject({
+      mediaType: 'image/jpeg',
+      bytes: jpeg.byteLength,
+      width: 1,
+      height: 1
+    })
+  })
+
+  it('rejects mismatched, malformed, and over-capacity images', async () => {
+    const store = new GoodBuddyHarnessAttachmentStore(new Context(), {
+      maxStoredImages: 1
+    })
+
+    await expect(
+      store.saveImage({
+        data: transparentPng,
+        mediaType: 'image/jpeg'
+      })
+    ).rejects.toMatchObject({ code: 'INVALID_IMAGE' })
+    await expect(
+      store.saveImage({
+        data: Buffer.from([
+          0x89, 0x50, 0x4e, 0x47,
+          0x0d, 0x0a, 0x1a, 0x0a
+        ]),
+        mediaType: 'image/png'
+      })
+    ).rejects.toMatchObject({ code: 'INVALID_IMAGE' })
+    const corruptPng = Buffer.from(transparentPng)
+    corruptPng[corruptPng.length - 8] =
+      (corruptPng[corruptPng.length - 8] ?? 0) ^ 1
+    await expect(
+      store.saveImage({
+        data: corruptPng,
+        mediaType: 'image/png'
+      })
+    ).rejects.toMatchObject({ code: 'INVALID_IMAGE' })
+
+    await store.saveImage({
+      data: transparentPng,
+      mediaType: 'image/png'
+    })
+    await expect(
+      store.saveImage({
+        data: secondPng,
+        mediaType: 'image/png'
+      })
+    ).rejects.toMatchObject({ code: 'STORAGE_LIMIT' })
+  })
+
+  it('does not retain a partial batch when capacity is exceeded', async () => {
+    const store = new GoodBuddyHarnessAttachmentStore(new Context(), {
+      maxStoredImages: 1
+    })
+
+    await expect(
+      store.saveImages([
+        { data: transparentPng, mediaType: 'image/png' },
+        { data: jpeg, mediaType: 'image/jpeg' }
+      ])
+    ).rejects.toMatchObject({ code: 'STORAGE_LIMIT' })
+    await expect(
+      store.saveImage({
+        data: jpeg,
+        mediaType: 'image/jpeg'
+      })
+    ).resolves.toMatchObject({ mediaType: 'image/jpeg' })
+  })
+
+  it('bounds aggregate decoded pixels before retaining a batch', async () => {
+    const store = new GoodBuddyHarnessAttachmentStore(new Context(), {
+      maxBatchImagePixels: 1
+    })
+    const input = {
+      data: transparentPng,
+      mediaType: 'image/png' as const
+    }
+
+    await expect(
+      store.saveImages([input, input])
+    ).rejects.toMatchObject({ code: 'INVALID_IMAGE' })
+    await expect(store.saveImage(input)).resolves.toMatchObject({
+      width: 1,
+      height: 1
+    })
+  })
+})