anomalyco · rekram1-node · Jul 10, 2026 · Jul 1, 2026 · Jul 1, 2026 · Jul 1, 2026
diff --git a/artifacts/glm52-rise-video/sst-env.d.ts b/artifacts/glm52-rise-video/sst-env.d.ts
@@ -0,0 +1,10 @@
+/* This file is auto-generated by SST. Do not edit. */
+/* tslint:disable */
+/* eslint-disable */
+/* deno-fmt-ignore-file */
+/* biome-ignore-all lint: auto-generated */
+
+/// <reference path="../../sst-env.d.ts" />
+
+import "sst"
+export {}
diff --git a/infra/lake.ts b/infra/lake.ts
@@ -67,6 +67,10 @@ const athenaWorkgroup = new aws.athena.Workgroup("LakeAthenaWorkgroup", {
   configuration: {
     enforceWorkgroupConfiguration: true,
     publishCloudwatchMetricsEnabled: true,
+    // Athena bills $5/TB scanned; kill any query that would scan more than 2 TB
+    // so a regression cannot silently burn money. Stats sync full passes scan
+    // ~250 GB as of 2026-07.
+    bytesScannedCutoffPerQuery: 2 * 1024 ** 4,
     resultConfiguration: {
       outputLocation: $interpolate`s3://${athenaResultsBucket.bucket}/`,
     },

diff --git a/infra/stats.ts b/infra/stats.ts
@@ -185,7 +185,9 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
   cluster: lakeCluster,
   architecture: "arm64",
   cpu: "0.25 vCPU",
-  memory: "0.5 GB",
+  // 0.5 GB caused an OOM crash loop: every restart immediately re-ran the 4 Athena
+  // stats queries (~$5/pass) every ~5 minutes instead of hourly.
+  memory: "2 GB",
   image: {
     context: ".",
     dockerfile: "packages/stats/server/Dockerfile",

@@ -74,6 +74,10 @@ test("opens and searches project files inline", async ({ page }) => {
         "opencode.global.dat:layout",
         JSON.stringify({ review: { diffStyle: "split", panelOpened: true } }),
       )
+      localStorage.setItem(
+        "opencode.global.dat:review-panel-v2",
+        JSON.stringify({ sidebarOpened: false, sidebarWidth: 240, expandMode: "collapse" }),
+      )
       localStorage.setItem(
         "opencode.window.browser.dat:tabs",
         JSON.stringify([{ type: "session", server, sessionId: sessionID }]),
@@ -86,13 +90,16 @@ test("opens and searches project files inline", async ({ page }) => {
   await expectSessionTitle(page, title)
 
   const panel = page.locator("#review-panel")
+  const sidebar = panel.locator('[data-slot="session-review-v2-sidebar"]')
   const contextButton = page.getByRole("button", { name: "View context usage" })
   await contextButton.click()
   await expect(panel.getByRole("tab", { name: "Context" })).toHaveAttribute("data-selected", "")
   await panel.getByRole("button", { name: "Open file" }).click()
   await expect(panel.getByRole("tab", { name: "Open file" })).toHaveAttribute("data-selected", "")
+  await expect(sidebar).toBeVisible()
   await contextButton.click()
   await expect(panel.getByRole("tab", { name: "Context" })).toHaveAttribute("data-selected", "")
+  await expect(sidebar).toHaveCount(0)
   await panel.getByRole("button", { name: "Open file" }).click()
   const filter = panel.getByRole("combobox", { name: "Filter files" })
   await expect(filter).toBeFocused()
@@ -102,9 +109,11 @@ test("opens and searches project files inline", async ({ page }) => {
   await panel.getByRole("button", { name: "README.md" }).click()
   await expect(panel.getByRole("tab", { name: "README.md" })).toHaveAttribute("data-selected", "")
   await expect(panel.getByText("contents:README.md", { exact: true })).toBeVisible()
+  await expect(sidebar).toHaveCount(0)
 
   await panel.getByRole("button", { name: "Open file" }).click()
   await expect(panel.getByRole("tab", { name: "README.md" })).toHaveCount(0)
+  await expect(sidebar).toBeVisible()
   await filter.fill("nested")
   const result = panel.getByRole("option", { name: /nested\.ts/ })
   await expect(result).toBeVisible()

@@ -0,0 +1,228 @@
+import { expect, test, type Locator, type Page } from "@playwright/test"
+import {
+  assistantMessage,
+  setupTimeline,
+  shell,
+  textPart,
+  toolPart,
+  userMessage,
+} from "../performance/timeline-stability/fixture"
+
+for (const deviceScaleFactor of [1.25, 1.5]) {
+  test(`keeps the shell outline inside a fractionally short virtual row at ${deviceScaleFactor}x`, async ({ page }) => {
+    const shellID = "prt_shell_outline"
+    const timeline = await setupTimeline(page, {
+      messages: [userMessage(), assistantMessage([shell(shellID, "completed", "shell output")])],
+      settings: { newLayoutDesigns: true, shellToolPartsExpanded: true },
+      reducedMotion: true,
+      deviceScaleFactor,
+    })
+    const part = page.locator(`[data-timeline-part-id="${shellID}"]`)
+    const output = part.locator('[data-component="bash-output"]')
+    const row = page.locator("[data-timeline-key]", { has: part })
+    await expect(output).toBeVisible()
+    await timeline.settle()
+
+    const geometry = await row.evaluate((element) => {
+      const output = element.querySelector<HTMLElement>('[data-component="bash-output"]')
+      if (!output) throw new Error("Shell output is unavailable")
+      const rowRect = element.getBoundingClientRect()
+      const outputRect = output.getBoundingClientRect()
+      // Match a rounded-down measurement at a fractional device-pixel phase.
+      element.style.height = `${outputRect.bottom - rowRect.top - 0.49}px`
+      element.style.transform = "translateY(0.25px)"
+      output.style.setProperty("--v2-border-border-base", "rgb(255, 0, 255)")
+      output.style.setProperty("background", "rgb(0, 0, 0)", "important")
+      const style = getComputedStyle(output)
+      return {
+        outputWidth: outputRect.width,
+        outputHeight: outputRect.height,
+        borderColor: style.borderTopColor,
+        boxShadow: style.boxShadow,
+        clipMargin: getComputedStyle(element).overflowClipMargin,
+      }
+    })
+    await timeline.settle()
+
+    const clipped = await row.evaluate((element) => {
+      const output = element.querySelector<HTMLElement>('[data-component="bash-output"]')!
+      return output.getBoundingClientRect().bottom - element.getBoundingClientRect().bottom
+    })
+    expect(clipped).toBeCloseTo(0.49, 1)
+
+    expect(await page.evaluate(() => devicePixelRatio)).toBe(deviceScaleFactor)
+    const edges = await captureCardEdges(page, output)
+
+    expect(edges.box.width).toBeCloseTo(geometry.outputWidth, 2)
+    expect(edges.box.height).toBeCloseTo(geometry.outputHeight, 2)
+    expect(geometry.borderColor).toBe("rgb(255, 0, 255)")
+    expect(geometry.boxShadow).toBe("none")
+    expect(geometry.clipMargin).toBe("0.5px")
+    expect(edges.magenta.top).toBeGreaterThan(0.75)
+    expect(edges.magenta.bottom).toBeGreaterThan(0.75)
+    expect(edges.magenta.vertical).toBeGreaterThanOrEqual(2)
+  })
+}
+
+test("keeps the patch card inside a fractionally short virtual row", async ({ page }) => {
+  const patchID = "prt_patch_outline"
+  const file = {
+    filePath: "src/outline.ts",
+    relativePath: "src/outline.ts",
+    type: "update",
+    additions: 1,
+    deletions: 1,
+    before: "const outline = false\n",
+    after: "const outline = true\n",
+  }
+  const timeline = await setupTimeline(page, {
+    messages: [
+      userMessage(),
+      assistantMessage([
+        toolPart(patchID, "apply_patch", "completed", { files: [file.filePath] }, { metadata: { files: [file] } }),
+      ]),
+    ],
+    settings: { editToolPartsExpanded: true, newLayoutDesigns: true },
+    reducedMotion: true,
+  })
+  const part = page.locator(`[data-timeline-part-id="${patchID}"]`)
+  const card = part.locator('[data-component="accordion"][data-scope="apply-patch"]')
+  const row = page.locator("[data-timeline-key]", { has: part })
+  await expect(card).toBeVisible()
+  await timeline.settle()
+
+  const geometry = await row.evaluate((element) => {
+    const card = element.querySelector<HTMLElement>('[data-component="accordion"][data-scope="apply-patch"]')
+    if (!card) throw new Error("Patch card is unavailable")
+    const rowRect = element.getBoundingClientRect()
+    const cardRect = card.getBoundingClientRect()
+    element.style.height = `${cardRect.bottom - rowRect.top - 0.49}px`
+    const clipMargin = getComputedStyle(element).overflowClipMargin
+    const bottom = element.getBoundingClientRect().bottom
+    return {
+      overflow: card.getBoundingClientRect().bottom - bottom,
+      paintOverflow: card.getBoundingClientRect().bottom - bottom - Number.parseFloat(clipMargin),
+      clipMargin,
+      cardWidth: cardRect.width,
+      cardHeight: cardRect.height,
+    }
+  })
+  await timeline.settle()
+
+  expect(geometry.overflow).toBeCloseTo(0.49, 1)
+  expect(geometry.paintOverflow).toBeLessThanOrEqual(0)
+  const edges = await captureCardEdges(page, card)
+  expect(edges.box.width).toBeCloseTo(geometry.cardWidth, 2)
+  expect(edges.box.height).toBeCloseTo(geometry.cardHeight, 2)
+  expect(edges.luminance.top).toBeLessThan(245)
+  expect(edges.luminance.bottom).toBeLessThan(245)
+  expect(Math.abs(edges.luminance.bottom - edges.luminance.top)).toBeLessThan(10)
+  expect(geometry.clipMargin).toBe("0.5px")
+})
+
+test("allows paint rounding for every framed row but not fixed turn gaps", async ({ page }) => {
+  const secondUserID = "msg_outline_second_user"
+  await setupTimeline(page, {
+    messages: [
+      userMessage(undefined, {
+        summary: {
+          diffs: [
+            {
+              file: "src/summary.ts",
+              additions: 1,
+              deletions: 1,
+              patch: "@@ -1 +1 @@\n-export const value = 1\n+export const value = 2",
+            },
+          ],
+        },
+      }),
+      assistantMessage([textPart("prt_outline_text", "Assistant text")]),
+      userMessage(undefined, { id: secondUserID, created: 1700000010000 }),
+      assistantMessage([], {
+        id: "msg_outline_second_assistant",
+        parentID: secondUserID,
+        created: 1700000011000,
+      }),
+    ],
+  })
+  await expect(page.locator('[data-timeline-row="DiffSummary"]')).toBeVisible()
+  await expect(page.locator('[data-timeline-row="TurnGap"]')).toBeVisible()
+
+  const rows = await page.locator("[data-timeline-key]").evaluateAll((elements) =>
+    elements.map((element) => ({
+      tag: element.querySelector<HTMLElement>("[data-timeline-row]")?.dataset.timelineRow,
+      clipMargin: getComputedStyle(element).overflowClipMargin,
+    })),
+  )
+  expect(rows.filter((row) => row.tag !== "TurnGap").every((row) => row.clipMargin === "0.5px")).toBe(true)
+  expect(rows.filter((row) => row.tag === "TurnGap")).toEqual([{ tag: "TurnGap", clipMargin: "0px" }])
+})
+
+async function captureCardEdges(page: Page, card: Locator) {
+  const box = await card.boundingBox()
+  if (!box) throw new Error("Tool card bounds are unavailable")
+  const viewport = page.viewportSize()
+  if (!viewport) throw new Error("Viewport bounds are unavailable")
+  const screenshot = await page.screenshot()
+  return page.evaluate(
+    async ({ source, box, viewport }) => {
+      const image = new Image()
+      image.src = source
+      await image.decode()
+      const canvas = document.createElement("canvas")
+      canvas.width = image.naturalWidth
+      canvas.height = image.naturalHeight
+      const context = canvas.getContext("2d")
+      if (!context) throw new Error("2D canvas is unavailable")
+      context.drawImage(image, 0, 0)
+      const scale = {
+        x: image.naturalWidth / viewport.width,
+        y: image.naturalHeight / viewport.height,
+      }
+      const rows = (candidates: number[]) => {
+        const left = Math.floor((box.x + 8) * scale.x)
+        const width = Math.floor((box.width - 16) * scale.x)
+        return candidates.map((row) => {
+          const pixels = context.getImageData(left, row, width, 1).data
+          const indexes = Array.from({ length: width }, (_, index) => index * 4)
+          return {
+            luminance:
+              indexes
+                .map((index) => (pixels[index]! + pixels[index + 1]! + pixels[index + 2]!) / 3)
+                .reduce((sum, value) => sum + value, 0) / width,
+            magenta:
+              indexes.filter((index) => pixels[index]! > 200 && pixels[index + 1]! < 180 && pixels[index + 2]! > 200)
+                .length / width,
+          }
+        })
+      }
+      const pixels = context.getImageData(0, 0, image.naturalWidth, image.naturalHeight).data
+      const columns = new Uint32Array(image.naturalWidth)
+      for (let index = 0; index < pixels.length; index += 4) {
+        if (pixels[index]! <= 200 || pixels[index + 1]! >= 180 || pixels[index + 2]! <= 200) continue
+        columns[(index / 4) % image.naturalWidth] = columns[(index / 4) % image.naturalWidth]! + 1
+      }
+      const top = box.y * scale.y
+      const bottom = (box.y + box.height) * scale.y
+      const topRows = rows([Math.floor(top) - 1, Math.floor(top), Math.ceil(top)])
+      const bottomRows = rows([Math.floor(bottom) - 2, Math.floor(bottom) - 1, Math.ceil(bottom) - 1])
+      return {
+        box,
+        luminance: {
+          top: Math.min(...topRows.map((row) => row.luminance)),
+          bottom: rows([Math.ceil(bottom) - 1])[0]!.luminance,
+        },
+        magenta: {
+          top: Math.max(...topRows.map((row) => row.magenta)),
+          bottom: Math.max(...bottomRows.map((row) => row.magenta)),
+          vertical: Array.from(columns).filter((count) => count > box.height * scale.y * 0.75).length,
+        },
+      }
+    },
+    {
+      source: `data:image/png;base64,${screenshot.toString("base64")}`,
+      viewport,
+      box,
+    },
+  )
+}
@@ -36,6 +36,8 @@ import { Icon } from "@opencode-ai/ui/icon"
 import { ProviderIcon } from "@opencode-ai/ui/provider-icon"
 import { Tooltip, TooltipKeybind } from "@opencode-ai/ui/tooltip"
 import { ButtonV2 } from "@opencode-ai/ui/v2/button-v2"
+import { Icon as IconV2 } from "@opencode-ai/ui/v2/icon"
+import { IconButtonV2 } from "@opencode-ai/ui/v2/icon-button-v2"
 import { KeybindV2 } from "@opencode-ai/ui/v2/keybind-v2"
 import { MenuV2 } from "@opencode-ai/ui/v2/menu-v2"
 import { TooltipV2 } from "@opencode-ai/ui/v2/tooltip-v2"
@@ -1333,6 +1335,7 @@ export const PromptInput: Component<PromptInputProps> = (props) => {
       onQueue: props.onQueue,
       onAbort: props.onAbort,
       onSubmit: props.onSubmit,
+      model: props.controls.model.selection,
     })
 
   const handleKeyDown = (event: KeyboardEvent) => {
@@ -1704,22 +1707,19 @@ export const PromptInput: Component<PromptInputProps> = (props) => {
                   >
                     <MenuV2 gutter={6} modal={false} placement="top-start">
                       <MenuV2.Trigger
-                        as={IconButton}
+                        as={IconButtonV2}
                         data-action="prompt-attach"
                         type="button"
-                        icon="plus"
-                        variant="ghost"
-                        class="size-7 rounded-md p-[6px] text-v2-icon-icon-muted"
+                        icon={<IconV2 name="plus" />}
+                        variant="ghost-muted"
+                        size="large"
                         style={buttons()}
                         disabled={store.mode !== "normal"}
                         tabIndex={store.mode === "normal" ? undefined : -1}
                         aria-label={language.t("prompt.menu.addImagesAndFiles")}
                       />
                       <MenuV2.Portal>
-                        <MenuV2.Content
-                          class="[&_[data-slot=menu-v2-item-shortcut]]:w-5 [&_[data-slot=menu-v2-item-shortcut]]:justify-center"
-                          style={{ "min-width": "180px" }}
-                        >
+                        <MenuV2.Content style={{ "min-width": "180px" }}>
                           <MenuV2.Item onSelect={pick} shortcut={command.keybind("file.attach")}>
                             {language.t("prompt.menu.imagesAndFiles")}
                           </MenuV2.Item>