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25 Commits

Author SHA1 Message Date
James Long b080fe1535 test(core): simplify process layer wiring 2026-06-20 18:18:25 -04:00
imranshaiedi-byte 22cc758b1a feat(opencode): expose High/Max thinking variants for GLM-5.2 (#32446)
Co-authored-by: Aiden Cline <aidenpcline@gmail.com>
2026-06-20 16:59:08 -05:00
opencode-agent[bot] 0b7ec51d0a chore: generate 2026-06-20 21:05:57 +00:00
Kit Langton 4f1a9d7aef fix(core): honor configured agent step limits (#33142) 2026-06-20 23:04:30 +02:00
Adam 503309d244 fix(stats): tolerate pending user column 2026-06-20 15:56:52 -05:00
opencode-agent[bot] 1c76587ce2 chore: generate 2026-06-20 19:56:12 +00:00
Adam 24c70ec974 feat(stats): add unique user charts 2026-06-20 14:54:45 -05:00
Lucas Kim 2d993cd0d5 fix(experimental llm pkg): forward topK to Converse via additionalModelRequestFields (#33030) 2026-06-20 14:35:05 -05:00
卫斯李 babe5070e2 fix(opencode): use toLowerCase for Devstral model detection (#33109)
Co-authored-by: Robin1987China <fanrenzhige@163.com>
2026-06-20 14:19:27 -05:00
Dax 009f3799cd refactor(tui): simplify inline tool spacing (#33097) 2026-06-20 09:35:20 -04:00
Adam 95237a90a7 fix(stats): align model peers ranking 2026-06-20 06:14:24 -05:00
Aiden Cline e6cdc543f3 fix(tui): render console org load errors inline (#33040) 2026-06-19 19:41:22 -04:00
Aiden Cline f092bafe88 tweak: remove steering wrapper that can bust cache (#33039) 2026-06-19 19:10:09 -04:00
Grant Martin 3f1fffeb6d fix(core): fix command docs in customize-opencode skill (#32718) 2026-06-19 18:22:27 -04:00
Luke Parker c6083a474c test(app): add manual performance diagnostics (#32937) 2026-06-19 19:39:02 +02:00
opencode-agent[bot] 10ec856ff2 chore: generate 2026-06-19 16:38:37 +00:00
Adam 0f6c9b3874 chore(stats): update data seo metadata 2026-06-19 11:36:42 -05:00
opencode-agent[bot] 355a0bcf5b chore: generate 2026-06-18 12:56:22 +00:00
Aiden Cline 2892e97c57 fix(tui): gate background shortcut by capability (#32837) 2026-06-18 14:54:26 +02:00
Frank 62c746f2e8 zen: budget 2026-06-18 14:27:02 +02:00
Aiden Cline ec50db334b fix(opencode): pass configured headers to Copilot models (#32815) 2026-06-18 11:48:01 +02:00
opencode 8716c4309a sync release versions for v1.17.8 2026-06-17 21:27:16 +00:00
Frank 10b6672be1 go: glm 5.2 2026-06-17 13:04:43 +02:00
Adam 85a79292e6 fix(stats): map lab aliases 2026-06-17 05:38:14 -05:00
Luke Parker 5c9e4ff21b feat(app): add v2 home tab toggle (#32191) 2026-06-17 12:37:48 +02:00
143 changed files with 4264 additions and 869 deletions
+26 -26
View File
@@ -29,7 +29,7 @@
},
"packages/app": {
"name": "@opencode-ai/app",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -86,7 +86,7 @@
},
"packages/cli": {
"name": "@opencode-ai/cli",
"version": "1.17.7",
"version": "1.17.8",
"bin": {
"lildax": "./bin/lildax.cjs",
},
@@ -111,7 +111,7 @@
},
"packages/console/app": {
"name": "@opencode-ai/console-app",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@ibm/plex": "6.4.1",
@@ -147,7 +147,7 @@
},
"packages/console/core": {
"name": "@opencode-ai/console-core",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@aws-sdk/client-sts": "3.782.0",
"@jsx-email/render": "1.1.1",
@@ -174,7 +174,7 @@
},
"packages/console/function": {
"name": "@opencode-ai/console-function",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@ai-sdk/anthropic": "3.0.82",
"@ai-sdk/openai": "3.0.48",
@@ -196,7 +196,7 @@
},
"packages/console/mail": {
"name": "@opencode-ai/console-mail",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -220,7 +220,7 @@
},
"packages/console/support": {
"name": "@opencode-ai/console-support",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@opencode-ai/console-core": "workspace:*",
@@ -240,7 +240,7 @@
},
"packages/core": {
"name": "@opencode-ai/core",
"version": "1.17.7",
"version": "1.17.8",
"bin": {
"opencode": "./bin/opencode",
},
@@ -331,7 +331,7 @@
},
"packages/desktop": {
"name": "@opencode-ai/desktop",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@zip.js/zip.js": "2.7.62",
"effect": "catalog:",
@@ -385,7 +385,7 @@
},
"packages/effect-drizzle-sqlite": {
"name": "@opencode-ai/effect-drizzle-sqlite",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"drizzle-orm": "catalog:",
"effect": "catalog:",
@@ -399,7 +399,7 @@
},
"packages/effect-sqlite-node": {
"name": "@opencode-ai/effect-sqlite-node",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"effect": "catalog:",
},
@@ -411,7 +411,7 @@
},
"packages/enterprise": {
"name": "@opencode-ai/enterprise",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@hono/standard-validator": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -442,7 +442,7 @@
},
"packages/function": {
"name": "@opencode-ai/function",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@octokit/auth-app": "8.0.1",
"@octokit/rest": "catalog:",
@@ -458,7 +458,7 @@
},
"packages/http-recorder": {
"name": "@opencode-ai/http-recorder",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@effect/platform-node": "4.0.0-beta.74",
"@effect/platform-node-shared": "4.0.0-beta.74",
@@ -477,7 +477,7 @@
},
"packages/llm": {
"name": "@opencode-ai/llm",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@smithy/eventstream-codec": "4.2.14",
"@smithy/util-utf8": "4.2.2",
@@ -495,7 +495,7 @@
},
"packages/opencode": {
"name": "opencode",
"version": "1.17.7",
"version": "1.17.8",
"bin": {
"opencode": "./bin/opencode",
},
@@ -623,7 +623,7 @@
},
"packages/plugin": {
"name": "@opencode-ai/plugin",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"effect": "catalog:",
@@ -661,7 +661,7 @@
},
"packages/sdk/js": {
"name": "@opencode-ai/sdk",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"cross-spawn": "catalog:",
},
@@ -676,7 +676,7 @@
},
"packages/server": {
"name": "@opencode-ai/server",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@opencode-ai/core": "workspace:*",
"drizzle-orm": "catalog:",
@@ -690,7 +690,7 @@
},
"packages/slack": {
"name": "@opencode-ai/slack",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"@slack/bolt": "^3.17.1",
@@ -703,7 +703,7 @@
},
"packages/stats/app": {
"name": "@opencode-ai/stats-app",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@ibm/plex": "6.4.1",
"@opencode-ai/stats-core": "workspace:*",
@@ -736,7 +736,7 @@
},
"packages/stats/core": {
"name": "@opencode-ai/stats-core",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@aws-sdk/client-athena": "3.933.0",
"@planetscale/database": "1.19.0",
@@ -755,7 +755,7 @@
},
"packages/stats/server": {
"name": "@opencode-ai/stats-server",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@aws-sdk/client-firehose": "3.933.0",
"@effect/platform-node": "catalog:",
@@ -795,7 +795,7 @@
},
"packages/tui": {
"name": "@opencode-ai/tui",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@opencode-ai/core": "workspace:*",
"@opencode-ai/plugin": "workspace:*",
@@ -822,7 +822,7 @@
},
"packages/ui": {
"name": "@opencode-ai/ui",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -871,7 +871,7 @@
},
"packages/web": {
"name": "@opencode-ai/web",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@astrojs/cloudflare": "12.6.3",
"@astrojs/markdown-remark": "6.3.1",
+5
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@@ -1,3 +1,8 @@
## Priorities
- Prioritise, in this order: stability, simplicity, performance.
- Before changing session or timeline code, record a production benchmark baseline and compare it after the change.
## Debugging
- NEVER try to restart the app, or the server process, EVER.
+13
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@@ -0,0 +1,13 @@
- Prioritize stability, then simplicity, then measurement overhead.
- Use Playwright for scenario control, isolation, and completion checks.
- Use Chrome Performance traces for generic browser profiling.
- Use Electron `contentTracing` for packaged multi-process profiling.
- Keep custom probes only for product-specific measurements.
- Do not duplicate measurements across the harness, probes, and traces.
- Run benchmarks serially to avoid cross-test contention.
- Run benchmarks against production builds.
- Keep detailed profiling opt-in when it changes workload behavior.
- Preserve raw diagnostic data or use lossless representations.
- Do not enforce machine-dependent performance thresholds.
- Assert scenario completion and metric collection only.
- Keep normal test discovery free of manual benchmarks.
+77
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@@ -0,0 +1,77 @@
# Manual app performance suite
The app's high-volume performance diagnostics live under `packages/app/e2e/performance` and are excluded from normal local and CI Playwright discovery. The benchmark config builds the app and serves the production bundle before running scenarios serially.
Run the suite explicitly from `packages/app`:
```sh
bun run test:bench
```
PowerShell:
```powershell
$env:PLAYWRIGHT_WORKERS = "1"
bun run test:bench
```
The suite contains:
- cold and hot session-tab timing
- cached session repaint and mutation tracing
- streaming timeline throughput, RAF-gap, long-task, geometry, and remount diagnostics
All benchmarks import the shared `benchmark` fixture. Pages created through Playwright's `page` fixture automatically capture main-frame navigation history and emit a Chrome trace when `OPENCODE_PERFORMANCE_TRACE_DIR` is set. Benchmarks that need isolated browser contexts use `withBenchmarkPage`, which owns the context and the same diagnostics lifecycle.
New benchmarks should look like normal Playwright tests:
```ts
import { benchmark, expect } from "../benchmark"
benchmark("measures one interaction", async ({ page, report }) => {
// Only scenario-specific setup and interaction belong here.
report({ durationMs: 42 })
})
```
The fixture requires every benchmark to call `report()`, automatically names and closes traces, captures navigation history, attaches that history when a test fails, and emits metrics as a consistent `BENCHMARK` JSON line.
```text
BENCHMARK {"name":"...","context":{"project":"chromium","platform":"darwin"},"metrics":{...}}
```
Every observed page also emits `BENCHMARK_PAGE` with the same run ID, navigation history, and optional trace path before the final status-bearing `BENCHMARK` record. Chrome traces are browser-wide page-lifetime diagnostics; scenario metrics use narrower explicitly named observation windows.
This follows the stack's own guidance: [Electron recommends repeated Chrome DevTools and Chrome Tracing measurement](https://www.electronjs.org/docs/latest/tutorial/performance), [Chrome DevTools recommends Performance recordings for runtime work](https://developer.chrome.com/docs/devtools/performance), and [Playwright uses traces for test debugging rather than renderer profiling](https://playwright.dev/docs/trace-viewer).
These Playwright benchmarks profile the shared app renderer in Chromium. A future packaged Electron benchmark that needs main-process and multi-process attribution should use Electron's official [`contentTracing`](https://www.electronjs.org/docs/latest/api/content-tracing/) API rather than extending this renderer harness with bespoke process instrumentation.
CPU and high-volume visual profiling are disabled by default. Set `TIMELINE_CPU_PROFILE=1` to enable both, or additionally set `TIMELINE_VISUAL_PROFILE=0` for CPU-only profiling.
The streaming scenario's 30x CPU throttle is a deterministic stress profile, not a simulated end-user device.
Benchmarks do not assert machine-dependent performance budgets. Streaming processes 160 deltas by default and reports renderer-observed completion time, throughput, RAF callback-gap distributions, frame-budget equivalents, and long tasks through final geometry settlement. Delta count and delivery batch are included in result context when overridden. These are main-thread callback diagnostics, not compositor presentation or dropped-frame measurements. Visual-only and geometry metrics are `null` when their probes are disabled. Tab metrics describe sampled DOM observations. Assertions verify scenario and metric collection completion. Repeated repaint states are run-length grouped, but every original observation timestamp is retained alongside raw mutation batches and layout shifts.
Committed smoke and regression tests continue to own correctness coverage for pagination, tab paint, context resize, collapse state, and composer spacing.
## Chrome traces
Set `OPENCODE_PERFORMANCE_TRACE_DIR` to emit a standard Chrome DevTools trace for every benchmark page automatically:
```sh
OPENCODE_PERFORMANCE_TRACE_DIR=/tmp/opencode-performance-traces \
bunx playwright test --config e2e/performance/playwright.config.ts \
timeline/session-tab-switch-benchmark.spec.ts
```
The emitted JSON is a standard Chrome trace and can be loaded directly into the Chrome DevTools Performance panel. `devtools-tracing` can optionally inspect it from the command line without adding package scripts or dependencies:
Trace capture mirrors [Puppeteer's official tracing defaults and lifecycle](https://pptr.dev/api/puppeteer.tracing), using Chrome's `ReturnAsStream` transfer mode and failing when Chromium reports trace data loss.
```sh
bunx devtools-tracing stats <trace-path-from-BENCHMARK_PAGE>
```
INP analysis requires a trace with a supported navigation/interaction insight. Selector statistics require a trace captured with `OPENCODE_PERFORMANCE_SELECTOR_TRACE=1`.
`e2e/performance/playwright.uncapped.config.ts` disables Chromium frame-rate limiting for explicit uncapped diagnostics. Native product benchmarks should use the default Playwright configuration.
+144
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@@ -0,0 +1,144 @@
import { expect, test as base, type Browser, type Page, type TestInfo } from "@playwright/test"
import { startChromeTrace } from "./chrome-trace"
type BenchmarkFixtures = {
report: (metrics: Record<string, unknown>, context?: Record<string, unknown>) => void
reportState: { payload?: { metrics: Record<string, unknown>; context: Record<string, unknown> } }
benchmarkResult: void
}
export type PerformancePageDiagnostics = {
navigations: string[]
stop: () => Promise<string | undefined>
}
const pages = new WeakMap<Page, PerformancePageDiagnostics>()
export const benchmark = base.extend<BenchmarkFixtures>({
reportState: async ({}, use) => use({}),
report: async ({ reportState }, use) => {
await use((metrics, context = {}) => {
if (reportState.payload) throw new Error("Benchmark reported metrics more than once")
reportState.payload = { metrics, context }
})
},
benchmarkResult: [
async ({ reportState }, use, testInfo) => {
await use()
const missing = !reportState.payload
console.log(
`BENCHMARK ${JSON.stringify({
schemaVersion: 2,
runID: process.env.OPENCODE_PERFORMANCE_RUN_ID,
name: benchmarkName(testInfo),
status: missing ? "failed" : testInfo.status,
expectedStatus: testInfo.expectedStatus,
retry: testInfo.retry,
repeatEachIndex: testInfo.repeatEachIndex,
context: {
project: testInfo.project.name,
platform: process.platform,
...reportState.payload?.context,
},
metrics: reportState.payload?.metrics ?? null,
error: missing ? "Benchmark did not report metrics" : undefined,
})}`,
)
if (missing && testInfo.status === testInfo.expectedStatus)
throw new Error(`Benchmark did not report metrics: ${benchmarkName(testInfo)}`)
},
{ auto: true },
],
page: async ({ page }, use, testInfo) => {
const name = benchmarkName(testInfo)
const diagnostics = await observePerformancePage(page, name)
try {
await use(page)
} finally {
try {
await reportPerformancePage(name, diagnostics, testInfo)
} finally {
if (testInfo.status !== testInfo.expectedStatus) {
await testInfo.attach("performance-navigations", {
body: JSON.stringify(diagnostics.navigations, null, 2),
contentType: "application/json",
})
}
}
}
},
})
function benchmarkName(testInfo: TestInfo) {
return testInfo.titlePath.slice(1).join(" > ")
}
export { expect }
async function observePerformancePage(page: Page, name: string) {
const navigations: string[] = []
const onNavigation = (frame: ReturnType<Page["mainFrame"]>) => {
if (frame === page.mainFrame()) navigations.push(frame.url())
}
page.on("framenavigated", onNavigation)
const stopTrace = await startChromeTrace(page, name).catch((error) => {
page.off("framenavigated", onNavigation)
throw error
})
let stopping: Promise<string | undefined> | undefined
const diagnostics: PerformancePageDiagnostics = {
navigations,
stop() {
page.off("framenavigated", onNavigation)
return (stopping ??= stopTrace?.() ?? Promise.resolve(undefined))
},
}
pages.set(page, diagnostics)
return diagnostics
}
export async function withBenchmarkPage<T>(
browser: Browser,
name: string,
run: (page: Page) => Promise<T>,
testInfo?: TestInfo,
) {
const context = await browser.newContext()
try {
const page = await context.newPage()
const diagnostics = await observePerformancePage(page, name)
try {
return await run(page)
} finally {
await reportPerformancePage(name, diagnostics, testInfo)
}
} finally {
await context.close()
}
}
async function reportPerformancePage(name: string, diagnostics: PerformancePageDiagnostics, testInfo?: TestInfo) {
const trace = await diagnostics.stop()
console.log(
`BENCHMARK_PAGE ${JSON.stringify({
schemaVersion: 2,
runID: process.env.OPENCODE_PERFORMANCE_RUN_ID,
name,
test: testInfo ? benchmarkName(testInfo) : undefined,
retry: testInfo?.retry,
repeatEachIndex: testInfo?.repeatEachIndex,
context: {
platform: process.platform,
trace,
selectorTrace: process.env.OPENCODE_PERFORMANCE_SELECTOR_TRACE === "1",
},
navigations: diagnostics.navigations,
})}`,
)
}
export function benchmarkDiagnostics(page: Page) {
const diagnostics = pages.get(page)
if (!diagnostics) throw new Error("Performance diagnostics are not installed for this page")
return diagnostics
}
@@ -0,0 +1,95 @@
import type { CDPSession, Page } from "@playwright/test"
import path from "node:path"
import { mkdir, open, rename } from "node:fs/promises"
import { Buffer } from "node:buffer"
import { createHash, randomUUID } from "node:crypto"
const categories = [
"-*",
"devtools.timeline",
"v8.execute",
"disabled-by-default-devtools.timeline",
"disabled-by-default-devtools.timeline.frame",
"toplevel",
"blink.console",
"blink.user_timing",
"latencyInfo",
"disabled-by-default-devtools.timeline.stack",
"disabled-by-default-v8.cpu_profiler",
]
export async function startChromeTrace(page: Page, name: string) {
const directory = process.env.OPENCODE_PERFORMANCE_TRACE_DIR
if (!directory) return
const selectors = process.env.OPENCODE_PERFORMANCE_SELECTOR_TRACE === "1"
const file = await prepareChromeTrace(directory, name, selectors)
const session = await page.context().newCDPSession(page)
try {
await session.send("Tracing.start", {
transferMode: "ReturnAsStream",
traceConfig: {
excludedCategories: categories
.filter((category) => category.startsWith("-"))
.map((category) => category.slice(1)),
includedCategories: [
...categories.filter((category) => !category.startsWith("-")),
...(selectors
? ["disabled-by-default-blink.debug", "disabled-by-default-devtools.timeline.invalidationTracking"]
: []),
],
},
})
} catch (error) {
await Promise.allSettled([session.detach()])
throw error
}
let stopping: Promise<string> | undefined
return () =>
(stopping ??= (async () => {
try {
const complete = new Promise<{ stream?: string; dataLossOccurred: boolean }>((resolve) =>
session.once("Tracing.tracingComplete", resolve),
)
await session.send("Tracing.end")
const result = await complete
if (!result.stream) throw new Error(`Chrome trace stream missing: ${file}`)
const partial = `${file}.partial`
await writeProtocolStream(session, result.stream, partial)
if (result.dataLossOccurred) throw new Error(`Chrome trace lost data; partial capture retained: ${partial}`)
await rename(partial, file)
return file
} finally {
await Promise.allSettled([session.detach()])
}
})())
}
export async function prepareChromeTrace(
directory: string,
name: string,
selectors: boolean,
nonce = randomUUID().slice(0, 8),
) {
await mkdir(directory, { recursive: true })
const run = process.env.OPENCODE_PERFORMANCE_RUN_ID ?? "manual"
const hash = createHash("sha256").update(name).digest("hex").slice(0, 8)
return path.join(
directory,
`${run}-${name.replace(/[^a-zA-Z0-9_-]/g, "-")}-${hash}-${nonce}${selectors ? "-selectors" : ""}.json`,
)
}
async function writeProtocolStream(session: CDPSession, handle: string, file: string) {
const output = await open(file, "wx")
try {
while (true) {
const chunk = await session.send("IO.read", { handle })
await output.write(chunk.base64Encoded ? Buffer.from(chunk.data, "base64") : chunk.data)
if (chunk.eof) break
}
} finally {
await Promise.allSettled([output.close(), session.send("IO.close", { handle })])
}
}
@@ -0,0 +1,20 @@
import config from "../../playwright.config"
const port = Number(process.env.PLAYWRIGHT_PORT ?? 3000)
process.env.PLAYWRIGHT_SERVER_PORT = String(port)
process.env.OPENCODE_PERFORMANCE_RUN_ID ??= `${new Date().toISOString().replace(/[:.]/g, "-")}-${process.pid}`
export default {
...config,
testDir: ".",
testIgnore: "unit/**",
outputDir: "../test-results/performance",
fullyParallel: false,
workers: 1,
reporter: [["html", { outputFolder: "../playwright-report/performance", open: "never" }], ["line"]],
webServer: {
...config.webServer,
command: `bun run build && bun run serve -- --host 0.0.0.0 --port ${port} --strictPort`,
reuseExistingServer: false,
},
}
@@ -0,0 +1,13 @@
import config from "./playwright.config"
export default {
...config,
outputDir: "../test-results/performance-uncapped",
reporter: [["html", { outputFolder: "../playwright-report/performance-uncapped", open: "never" }], ["line"]],
use: {
...config.use,
launchOptions: {
args: ["--disable-frame-rate-limit", "--disable-gpu-vsync"],
},
},
}
@@ -0,0 +1,49 @@
import { benchmark, expect } from "../benchmark"
import { expectSessionTitle } from "../../utils/waits"
import { fixture } from "./session-timeline-stress.fixture"
import {
collectCachedRepaintTrace,
compressCachedRepaintTrace,
installCachedRepaintProbe,
waitForCachedRepaintWindow,
} from "./session-tab-repaint-probe"
import { waitForStableTimeline } from "./session-tab-switch-probe"
import {
installStressSessionTabs,
installTimelineSettings,
mockStressTimeline,
stressSessionHref,
} from "./timeline-test-helpers"
benchmark("samples cached session repaint after the click", async ({ page, report }) => {
benchmark.setTimeout(120_000)
await mockStressTimeline(page)
await installStressSessionTabs(page)
await installTimelineSettings(page)
await page.goto(stressSessionHref(fixture.targetID))
await expectSessionTitle(page, fixture.expected.targetTitle)
await waitForStableTimeline(page, fixture.expected.targetMessageIDs.at(-1)!)
await page
.locator(`[data-slot="titlebar-tabs"] a[href="${stressSessionHref(fixture.sourceID)}"]`)
.first()
.click()
await expectSessionTitle(page, fixture.expected.sourceTitle)
await waitForStableTimeline(page, fixture.expected.sourceMessageIDs.at(-1)!)
await installCachedRepaintProbe(page, {
targetHref: stressSessionHref(fixture.targetID),
destination: fixture.messages[fixture.targetID].map((message) => message.info.id),
source: fixture.messages[fixture.sourceID].map((message) => message.info.id),
last: fixture.expected.targetMessageIDs.at(-1)!,
windowMs: 1_000,
})
await page
.locator(`[data-slot="titlebar-tabs"] a[href="${stressSessionHref(fixture.targetID)}"]`)
.first()
.click()
await Promise.all([expectSessionTitle(page, fixture.expected.targetTitle), waitForCachedRepaintWindow(page, 1_000)])
const result = await collectCachedRepaintTrace(page)
report(compressCachedRepaintTrace(result))
expect(result.samples.length).toBeGreaterThan(0)
})
@@ -0,0 +1,251 @@
import type { Page } from "@playwright/test"
type CachedRepaintTrace = {
timeOriginEpochMs: number
startedAtPerformanceMs: number
samples: {
observedAtMs: number
root: number | undefined
scrollTop: number
scrollHeight: number
bottomErrorPx: number | undefined
last: boolean
rows: { key: string | undefined; node: number; top: number; bottom: number }[]
mounted: number
center: string | undefined
destination: string[]
source: string[]
}[]
mutations: { observedAtMs: number; changed: { type: string; node: number }[] }[]
shifts: { occurredAtMs: number; value: number }[]
windowMs: number
running: boolean
stop: () => void
}
export async function installCachedRepaintProbe(
page: Page,
input: { targetHref: string; destination: string[]; source: string[]; last: string; windowMs: number },
) {
await page.evaluate(({ targetHref, destination, source, last, windowMs }) => {
const destinationIDs = new Set(destination)
const sourceIDs = new Set(source)
const nodeIDs = new WeakMap<Node, number>()
let nextNodeID = 1
const id = (node: Node) => {
const current = nodeIDs.get(node)
if (current) return current
nodeIDs.set(node, nextNodeID)
return nextNodeID++
}
const state: CachedRepaintTrace = {
timeOriginEpochMs: performance.timeOrigin,
startedAtPerformanceMs: 0,
samples: [],
mutations: [],
shifts: [],
windowMs,
running: false,
stop: () => {},
}
const recordShifts = (entries: PerformanceEntry[]) => {
if (!state.running) return
state.shifts.push(
...entries
.map((entry) => {
if (
entry.startTime < state.startedAtPerformanceMs ||
entry.startTime > state.startedAtPerformanceMs + state.windowMs
)
return
return {
occurredAtMs: entry.startTime - state.startedAtPerformanceMs,
value: (entry as PerformanceEntry & { value: number }).value,
}
})
.filter((entry): entry is { occurredAtMs: number; value: number } => entry !== undefined),
)
}
const shiftObserver = new PerformanceObserver((entries) => recordShifts(entries.getEntries()))
shiftObserver.observe({ type: "layout-shift" })
const recordMutations = (entries: MutationRecord[]) => {
if (!state.running) return
const observedAtMs = performance.now() - state.startedAtPerformanceMs
if (observedAtMs > state.windowMs) return
const changed = entries.flatMap((entry) => [
...[...entry.addedNodes].map((node) => ({ type: "add", node: id(node) })),
...[...entry.removedNodes].map((node) => ({ type: "remove", node: id(node) })),
])
if (changed.length) state.mutations.push({ observedAtMs, changed })
}
const mutationObserver = new MutationObserver(recordMutations)
mutationObserver.observe(document.documentElement, { childList: true, subtree: true })
state.stop = () => {
recordShifts(shiftObserver.takeRecords())
recordMutations(mutationObserver.takeRecords())
state.running = false
shiftObserver.disconnect()
mutationObserver.disconnect()
}
const sample = () => {
if (!state.running) return
setTimeout(() => {
if (!state.running) return
const observedAtMs = performance.now() - state.startedAtPerformanceMs
if (observedAtMs > state.windowMs) return
const root = [...document.querySelectorAll<HTMLElement>(".scroll-view__viewport")].find((element) =>
element.querySelector("[data-timeline-row]"),
)
if (root) {
const view = root.getBoundingClientRect()
const rows = [...root.querySelectorAll<HTMLElement>("[data-timeline-key]")]
.map((element) => ({
key: element.dataset.timelineKey,
node: id(element),
rect: element.getBoundingClientRect(),
}))
.filter((item) => item.rect.bottom > view.top && item.rect.top < view.bottom)
.map((item) => ({
key: item.key,
node: item.node,
top: item.rect.top - view.top,
bottom: item.rect.bottom - view.top,
}))
const messages = [...root.querySelectorAll<HTMLElement>("[data-message-id]")]
.filter((element) => {
const rect = element.getBoundingClientRect()
return rect.bottom > view.top && rect.top < view.bottom
})
.map((element) => element.dataset.messageId!)
const spacer = root.querySelector<HTMLElement>('[data-timeline-row="bottom-spacer"]')?.getBoundingClientRect()
state.samples.push({
observedAtMs,
root: id(root),
scrollTop: root.scrollTop,
scrollHeight: root.scrollHeight,
bottomErrorPx: spacer ? spacer.bottom - view.bottom : undefined,
last: messages.includes(last),
rows,
mounted: root.querySelectorAll("[data-timeline-key]").length,
center: document
.elementFromPoint(view.left + view.width / 2, view.top + view.height / 2)
?.textContent?.slice(0, 80),
destination: messages.filter((messageID) => destinationIDs.has(messageID)),
source: messages.filter((messageID) => sourceIDs.has(messageID)),
})
} else {
state.samples.push({
observedAtMs,
root: undefined,
scrollTop: 0,
scrollHeight: 0,
bottomErrorPx: undefined,
last: false,
rows: [],
mounted: 0,
center: document.elementFromPoint(innerWidth / 2, innerHeight / 2)?.textContent?.slice(0, 80),
destination: [],
source: [],
})
}
requestAnimationFrame(sample)
}, 0)
}
document.addEventListener(
"click",
(event) => {
const link = event.target instanceof Element ? event.target.closest("a") : undefined
if (link?.getAttribute("href") !== targetHref) return
state.startedAtPerformanceMs = performance.now()
state.running = true
requestAnimationFrame(sample)
},
{ capture: true, once: true },
)
;(window as Window & { __cachedFlash?: CachedRepaintTrace }).__cachedFlash = state
}, input)
}
export function layoutShiftSample(entry: Pick<PerformanceEntry, "startTime"> & { value: number }, started: number) {
if (entry.startTime < started) return
return { occurredAtMs: entry.startTime - started, value: entry.value }
}
export async function waitForCachedRepaintWindow(page: Page, durationMs: number) {
await page.waitForFunction((durationMs) => {
const state = (window as Window & { __cachedFlash?: CachedRepaintTrace }).__cachedFlash
return !!state?.running && performance.now() - state.startedAtPerformanceMs >= durationMs
}, durationMs)
}
export async function collectCachedRepaintTrace(page: Page) {
return page.evaluate(() => {
const state = (window as Window & { __cachedFlash?: CachedRepaintTrace }).__cachedFlash!
state.stop()
return state
})
}
export function summarizeCachedRepaintTrace(trace: CachedRepaintTrace) {
const roots = trace.samples.map((sample) => sample.root)
const bottomErrors = trace.samples.flatMap((sample) =>
sample.bottomErrorPx === undefined ? [] : [Math.abs(sample.bottomErrorPx)],
)
const category = (sample: CachedRepaintTrace["samples"][number]) => {
if (sample.source.length) return "source"
if (sample.root === undefined || sample.rows.length === 0) return "blank"
if (!sample.destination.length) return "unknown"
if (sample.last && Math.abs(sample.bottomErrorPx ?? Infinity) <= 1) return "correct"
return "wrongDestination"
}
return {
samples: trace.samples.length,
durationMs: trace.samples.at(-1)?.observedAtMs ?? 0,
firstSampleObservedMs: trace.samples[0]?.observedAtMs,
firstSampleCorrect: trace.samples[0] ? category(trace.samples[0]) === "correct" : false,
blankSamples: trace.samples.filter((sample) => category(sample) === "blank").length,
sourceSamples: trace.samples.filter((sample) => category(sample) === "source").length,
wrongDestinationSamples: trace.samples.filter((sample) => category(sample) === "wrongDestination").length,
unknownSamples: trace.samples.filter((sample) => category(sample) === "unknown").length,
rootChanges: roots.slice(1).filter((root, index) => root !== roots[index]).length,
mountedMin: trace.samples.length ? Math.min(...trace.samples.map((sample) => sample.mounted)) : 0,
mountedMax: Math.max(...trace.samples.map((sample) => sample.mounted)),
maxBottomErrorPx: Math.max(0, ...bottomErrors),
mutationBatches: trace.mutations.length,
addedNodes: trace.mutations.reduce(
(sum, batch) => sum + batch.changed.filter((change) => change.type === "add").length,
0,
),
removedNodes: trace.mutations.reduce(
(sum, batch) => sum + batch.changed.filter((change) => change.type === "remove").length,
0,
),
layoutShiftValueSum: trace.shifts.reduce((sum, shift) => sum + shift.value, 0),
maxLayoutShiftValue: Math.max(0, ...trace.shifts.map((shift) => shift.value)),
}
}
export function compressCachedRepaintTrace(trace: CachedRepaintTrace) {
const samples: {
observedAtMs: number[]
state: Omit<CachedRepaintTrace["samples"][number], "observedAtMs">
}[] = []
for (const sample of trace.samples) {
const { observedAtMs, ...state } = sample
const previous = samples.at(-1)
if (previous && JSON.stringify(previous.state) === JSON.stringify(state)) {
previous.observedAtMs.push(observedAtMs)
continue
}
samples.push({ observedAtMs: [observedAtMs], state })
}
return {
timeOriginEpochMs: trace.timeOriginEpochMs,
startedAtPerformanceMs: trace.startedAtPerformanceMs,
windowMs: trace.windowMs,
summary: summarizeCachedRepaintTrace(trace),
samples,
mutations: trace.mutations,
shifts: trace.shifts,
}
}
@@ -0,0 +1,79 @@
import type { Page } from "@playwright/test"
import { expectSessionTitle } from "../../utils/waits"
import { benchmark, expect, withBenchmarkPage } from "../benchmark"
import { fixture } from "./session-timeline-stress.fixture"
import { installStressSessionTabs, mockStressTimeline, stressSessionHref } from "./timeline-test-helpers"
import { measureSessionSwitch, waitForStableTimeline } from "./session-tab-switch-probe"
type Result = Awaited<ReturnType<typeof measureSessionSwitch>>
benchmark("benchmarks cold and hot session tab switching", async ({ browser, report }, testInfo) => {
benchmark.setTimeout(180_000)
const results = { cold: [] as Result[], hot: [] as Result[] }
for (const mode of ["cold", "hot"] as const) {
for (let run = 0; run < 5; run++) {
results[mode].push(
await withBenchmarkPage(browser, `session-tab-switch-${mode}-${run}`, (page) => trial(page, mode), testInfo),
)
}
}
report({ results, summary: summarize(results) })
})
async function trial(page: Page, mode: "cold" | "hot") {
await mockStressTimeline(page)
await installStressSessionTabs(page)
if (mode === "hot") {
await page.goto(stressSessionHref(fixture.targetID))
await expectSessionTitle(page, fixture.expected.targetTitle)
await waitForStableTimeline(page, fixture.expected.targetMessageIDs.at(-1)!)
await switchSession(page, fixture.sourceID, fixture.expected.sourceTitle)
} else {
await page.goto(stressSessionHref(fixture.sourceID))
await expectSessionTitle(page, fixture.expected.sourceTitle)
}
await waitForStableTimeline(page, fixture.expected.sourceMessageIDs.at(-1)!)
const destinationIDs = fixture.messages[fixture.targetID].map((message) => message.info.id)
const sourceIDs = fixture.messages[fixture.sourceID].map((message) => message.info.id)
const lastID = fixture.expected.targetMessageIDs.at(-1)!
const href = stressSessionHref(fixture.targetID)
const result = await measureSessionSwitch(page, {
destinationIDs,
sourceIDs,
lastID,
href,
switch: () => switchSession(page, fixture.targetID, fixture.expected.targetTitle),
})
return result
}
function summarize(results: Record<"cold" | "hot", Result[]>) {
const stats = (values: (number | null)[]) => {
const sorted = values.filter((value): value is number => value !== null).sort((a, b) => a - b)
return {
min: sorted[0] ?? null,
median: sorted[Math.floor(sorted.length / 2)] ?? null,
max: sorted.at(-1) ?? null,
missing: values.length - sorted.length,
}
}
return Object.fromEntries(
Object.entries(results).map(([mode, values]) => [
mode,
{
firstDestinationObservedMs: stats(values.map((value) => value.firstDestinationObservedMs)),
firstCorrectObservedMs: stats(values.map((value) => value.firstCorrectObservedMs)),
stableObservedMs: stats(values.map((value) => value.stableObservedMs)),
},
]),
)
}
async function switchSession(page: Page, sessionID: string, title: string) {
const href = stressSessionHref(sessionID)
const tab = page.locator(`[data-slot="titlebar-tabs"] a[href="${href}"]`).first()
await expect(tab).toBeVisible()
await tab.click()
await expectSessionTitle(page, title)
}
@@ -0,0 +1,46 @@
export type SessionSwitchSample = {
observedAtMs: number
destination: string[]
source: string[]
hasVisibleRows: boolean
last: boolean
bottomErrorPx?: number
}
export function classifySessionSwitch(samples: SessionSwitchSample[]) {
const firstDestination = samples.findIndex((sample) => sample.destination.length > 0)
const firstCorrect = samples.findIndex(isCorrectDestination)
const stable = samples.findIndex((_, index) => isStableSessionSwitch(samples.slice(index, index + 3)))
return {
firstDestinationObservedMs: samples[firstDestination]?.observedAtMs ?? null,
firstCorrectObservedMs: samples[firstCorrect]?.observedAtMs ?? null,
stableObservedMs: samples[stable + 2]?.observedAtMs ?? null,
wrongDestinationSamples: samples
.slice(firstDestination)
.filter((sample) => sample.destination.length > 0 && !sample.last).length,
blankSamples: samples.filter((sample) => !sample.hasVisibleRows).length,
unknownSamples: samples.filter(
(sample) => sample.hasVisibleRows && sample.destination.length === 0 && sample.source.length === 0,
).length,
sourceSamples: samples.filter((sample) => sample.source.length > 0).length,
}
}
export function isCorrectDestination(sample: SessionSwitchSample) {
return (
sample.destination.length > 0 &&
sample.source.length === 0 &&
sample.last &&
Math.abs(sample.bottomErrorPx ?? Infinity) <= 1
)
}
export function isStableSessionSwitch(samples: SessionSwitchSample[]) {
return samples.length === 3 && samples.every(isCorrectDestination)
}
export function isStableDestination(samples: Pick<SessionSwitchSample, "last" | "bottomErrorPx">[]) {
return (
samples.length === 3 && samples.every((sample) => sample.last && Math.abs(sample.bottomErrorPx ?? Infinity) <= 1)
)
}
@@ -0,0 +1,152 @@
import { expect, type Page } from "@playwright/test"
import { classifySessionSwitch, isStableDestination, type SessionSwitchSample } from "./session-tab-switch-metrics"
type SessionSwitchProbe = {
samples: SessionSwitchSample[]
stop: () => void
}
async function installSessionSwitchProbe(
page: Page,
input: { destinationIDs: string[]; sourceIDs: string[]; lastID: string; href: string },
) {
await page.evaluate(({ destinationIDs, sourceIDs, lastID, href }) => {
const destination = new Set(destinationIDs)
const source = new Set(sourceIDs)
const samples: SessionSwitchSample[] = []
let started: number | undefined
let running = true
const sample = () => {
if (!running || started === undefined) return
setTimeout(() => {
if (!running || started === undefined) return
const observedAtMs = performance.now() - started
const root = [...document.querySelectorAll<HTMLElement>(".scroll-view__viewport")].find((element) =>
element.querySelector("[data-timeline-row]"),
)
if (root) {
const view = root.getBoundingClientRect()
const visible = [...root.querySelectorAll<HTMLElement>("[data-message-id]")]
.filter((element) => {
const rect = element.getBoundingClientRect()
return rect.bottom > view.top && rect.top < view.bottom
})
.map((element) => element.dataset.messageId!)
const hasVisibleRows = [...root.querySelectorAll<HTMLElement>("[data-timeline-key]")].some((element) => {
const rect = element.getBoundingClientRect()
return rect.bottom > view.top && rect.top < view.bottom
})
const spacer = root.querySelector<HTMLElement>('[data-timeline-row="bottom-spacer"]')?.getBoundingClientRect()
samples.push({
observedAtMs,
destination: visible.filter((id) => destination.has(id)),
source: visible.filter((id) => source.has(id)),
hasVisibleRows,
last: visible.includes(lastID),
bottomErrorPx: spacer ? spacer.bottom - view.bottom : undefined,
})
} else {
samples.push({ observedAtMs, destination: [], source: [], hasVisibleRows: false, last: false })
}
requestAnimationFrame(sample)
}, 0)
}
document.addEventListener(
"click",
(event) => {
const link = event.target instanceof Element ? event.target.closest("a") : undefined
if (link?.getAttribute("href") !== href) return
started = performance.now()
requestAnimationFrame(sample)
},
{ capture: true, once: true },
)
;(window as Window & { __sessionSwitchProbe?: SessionSwitchProbe }).__sessionSwitchProbe = {
samples,
stop: () => {
running = false
},
}
}, input)
}
async function waitForStableSessionSwitch(page: Page) {
await page.waitForFunction(() => {
const samples = (window as Window & { __sessionSwitchProbe?: SessionSwitchProbe }).__sessionSwitchProbe?.samples
if (!samples) return false
return samples.some((_, index) => {
const stable = samples.slice(index, index + 3)
return (
stable.length === 3 &&
stable.every(
(sample) =>
sample.destination.length > 0 &&
sample.source.length === 0 &&
sample.last &&
Math.abs(sample.bottomErrorPx ?? Infinity) <= 1,
)
)
})
})
}
async function collectSessionSwitchResult(page: Page) {
const samples = await page.evaluate(() => {
const probe = (window as Window & { __sessionSwitchProbe?: SessionSwitchProbe }).__sessionSwitchProbe!
probe.stop()
return probe.samples
})
return classifySessionSwitch(samples)
}
export async function measureSessionSwitch(
page: Page,
input: { destinationIDs: string[]; sourceIDs: string[]; lastID: string; href: string; switch: () => Promise<void> },
) {
const { switch: run, ...probe } = input
await installSessionSwitchProbe(page, probe)
await run()
await waitForStableSessionSwitch(page)
return collectSessionSwitchResult(page)
}
export async function waitForStableTimeline(page: Page, lastID: string) {
const samples: Pick<SessionSwitchSample, "last" | "bottomErrorPx">[] = []
await expect
.poll(
async () => {
samples.push(
await page.evaluate(
(lastID) =>
new Promise<Pick<SessionSwitchSample, "last" | "bottomErrorPx">>((resolve) => {
requestAnimationFrame(() =>
setTimeout(() => {
const root = [...document.querySelectorAll<HTMLElement>(".scroll-view__viewport")].find((element) =>
element.querySelector("[data-timeline-row]"),
)
if (!root) {
resolve({ last: false })
return
}
const view = root.getBoundingClientRect()
const last = [...root.querySelectorAll<HTMLElement>("[data-message-id]")].some((element) => {
if (element.dataset.messageId !== lastID) return false
const rect = element.getBoundingClientRect()
return rect.bottom > view.top && rect.top < view.bottom
})
const spacer = root
.querySelector<HTMLElement>('[data-timeline-row="bottom-spacer"]')
?.getBoundingClientRect()
resolve({ last, bottomErrorPx: spacer ? spacer.bottom - view.bottom : undefined })
}, 0),
)
}),
lastID,
),
)
return isStableDestination(samples.slice(-3))
},
{ timeout: 30_000, intervals: [0] },
)
.toBe(true)
}
@@ -0,0 +1,488 @@
import { base64Encode } from "@opencode-ai/core/util/encode"
import type { Page } from "@playwright/test"
import { mockOpenCodeServer } from "../../utils/mock-server"
import { expectAppVisible, expectSessionTitle } from "../../utils/waits"
import { expect } from "../benchmark"
const directory = "C:/OpenCode/TimelineStateRegression"
const projectID = "proj_timeline_state_regression"
const sessionID = "ses_timeline_state_regression"
const userMessageID = "msg_user_regression"
const assistantMessageID = "msg_assistant_regression"
const editPartID = "prt_0001_edit"
export const textPartID = "prt_9999_text"
const title = "Timeline collapse state regression"
const model = { providerID: "opencode", modelID: "claude-opus-4-6", variant: "max" }
type EventPayload = {
directory: string
payload: Record<string, unknown>
}
const userMessage = {
info: {
id: userMessageID,
sessionID,
role: "user",
time: { created: 1700000000000 },
summary: { diffs: [] },
agent: "build",
model,
},
parts: [
{
id: "prt_user_text",
sessionID,
messageID: userMessageID,
type: "text",
text: "Please edit the file.",
},
],
}
const editPart = {
id: editPartID,
sessionID,
messageID: assistantMessageID,
type: "tool",
callID: "call_edit_regression",
tool: "edit",
state: {
status: "completed",
input: { filePath: "src/regression.ts" },
output: "Edited src/regression.ts",
title: "src/regression.ts",
metadata: {
filediff: {
file: "src/regression.ts",
additions: 1,
deletions: 1,
before: "export const value = 'before'\n",
after: "export const value = 'after'\n",
},
diff: "diff --git a/src/regression.ts b/src/regression.ts\n-export const value = 'before'\n+export const value = 'after'\n",
},
time: { start: 1700000001000, end: 1700000002000 },
},
}
const streamedTextPart = {
id: textPartID,
sessionID,
messageID: assistantMessageID,
type: "text",
text: "Streaming added a later assistant text part.",
}
const assistantMessage = {
info: {
id: assistantMessageID,
sessionID,
role: "assistant",
time: { created: 1700000001000 },
parentID: userMessageID,
modelID: model.modelID,
providerID: model.providerID,
mode: "build",
agent: "build",
path: { cwd: directory, root: directory },
cost: 0.01,
tokens: { input: 100, output: 200, reasoning: 0, cache: { read: 0, write: 0 } },
variant: "max",
},
parts: [editPart],
}
export async function setupTimelineBenchmark(page: Page, options: { historyTurns: number; eventBatch: number }) {
const events: EventPayload[] = []
let eventBatch = options.eventBatch
await mockOpenCodeServer(page, {
directory,
project: project(),
provider: provider(),
sessions: [session()],
pageMessages: () => ({
items: [
...Array.from({ length: options.historyTurns }, (_, index) => performanceTurn(index)).flat(),
userMessage,
assistantMessage,
],
}),
events: () => events.splice(0, eventBatch),
eventRetry: 16,
})
await page.addInitScript(() => {
localStorage.setItem(
"settings.v3",
JSON.stringify({
general: {
editToolPartsExpanded: true,
shellToolPartsExpanded: true,
showReasoningSummaries: true,
showSessionProgressBar: true,
},
}),
)
})
await page.setViewportSize({ width: 1366, height: 768 })
const scroller = page.locator(".scroll-view__viewport", { has: page.locator("[data-timeline-row]") })
const text = page.locator(`[data-timeline-part-id="${textPartID}"]`).first()
await page.goto(`/${base64Encode(directory)}/session/${sessionID}`)
await expectSessionTitle(page, title)
await expectAppVisible(scroller)
return {
scroller,
text,
transport: {
enqueue(payload: EventPayload | EventPayload[]) {
events.push(...(Array.isArray(payload) ? payload : [payload]))
},
pendingCount() {
return events.length
},
releaseAll() {
eventBatch = events.length
},
},
async scrollToBottom() {
await scroller.evaluate((element) => {
element.scrollTop = element.scrollHeight
})
},
async waitForStableGeometry() {
await expect
.poll(() => scroller.evaluate((element) => element.scrollHeight - element.clientHeight - element.scrollTop))
.toBeLessThanOrEqual(1)
await page.waitForFunction((partID) => {
const root = [...document.querySelectorAll<HTMLElement>(".scroll-view__viewport")].find((element) =>
element.querySelector(`[data-timeline-part-id="${partID}"]`),
)
if (!root) return false
return new Promise<boolean>((resolve) => {
const height = root.scrollHeight
requestAnimationFrame(() =>
requestAnimationFrame(() =>
resolve(root.scrollHeight === height && root.scrollHeight - root.clientHeight - root.scrollTop <= 1),
),
)
})
}, textPartID)
},
}
}
export function buildInitialStreamEvent(deltaCount: number): EventPayload {
return {
directory,
payload: {
type: "message.part.updated",
properties: {
part: {
...streamedTextPart,
text: `Streaming${streamChunk(0, deltaCount + 1)}\n\n\`\`\`ts\nconst initial = true\n\`\`\``,
},
},
},
}
}
export function buildStreamDeltaEvents(deltaCount: number): EventPayload[] {
return Array.from({ length: deltaCount }, (_, index) => ({
directory,
payload: {
type: "message.part.delta",
properties: {
messageID: assistantMessageID,
partID: textPartID,
field: "text",
delta: streamChunk(index + 1, deltaCount + 1),
},
},
}))
}
function performanceTurn(index: number) {
const suffix = String(index).padStart(4, "0")
const userID = `msg_0000_${suffix}_a_user`
const assistantID = `msg_0000_${suffix}_b_assistant`
const before = historicalSource(index, false)
const after = historicalSource(index, true)
const parts = [
...(index % 5 === 0
? [
{
id: `prt_0000_${suffix}_reasoning`,
sessionID,
messageID: assistantID,
type: "reasoning",
text: `Reviewing the existing implementation. ${"constraint analysis ".repeat(20)}`,
time: { start: 1690000001000 + index * 2_000, end: 1690000001200 + index * 2_000 },
},
]
: []),
{
id: `prt_0000_${suffix}_assistant`,
sessionID,
messageID: assistantID,
type: "text",
text: historicalMarkdown(index),
},
...(index % 8 === 0
? [
{
id: `prt_0000_${suffix}_edit`,
sessionID,
messageID: assistantID,
type: "tool",
callID: `call_0000_${suffix}_edit`,
tool: "edit",
state: {
status: "completed",
input: { filePath: `src/history-${index}.ts` },
output: `Edited src/history-${index}.ts`,
title: `src/history-${index}.ts`,
metadata: {
filediff: { file: `src/history-${index}.ts`, additions: 48, deletions: 48, before, after },
},
time: { start: 1690000001200 + index * 2_000, end: 1690000001400 + index * 2_000 },
},
},
]
: []),
...(index % 12 === 0
? [
{
id: `prt_0000_${suffix}_write`,
sessionID,
messageID: assistantID,
type: "tool",
callID: `call_0000_${suffix}_write`,
tool: "write",
state: {
status: "completed",
input: { filePath: `src/generated-${index}.tsx`, content: after },
output: `Wrote src/generated-${index}.tsx`,
title: `src/generated-${index}.tsx`,
metadata: {
filediff: { file: `src/generated-${index}.tsx`, additions: 32, deletions: 0, before: "", after },
},
time: { start: 1690000001400 + index * 2_000, end: 1690000001500 + index * 2_000 },
},
},
]
: []),
...(index % 16 === 0
? [
{
id: `prt_0000_${suffix}_patch`,
sessionID,
messageID: assistantID,
type: "tool",
callID: `call_0000_${suffix}_patch`,
tool: "apply_patch",
state: {
status: "completed",
input: { patchText: realisticPatch(index) },
output: "Success. Updated src/components/SessionCard.tsx",
title: "src/components/SessionCard.tsx",
metadata: {
files: [
{
filePath: "src/components/SessionCard.tsx",
relativePath: "src/components/SessionCard.tsx",
type: "update",
additions: 8,
deletions: 3,
patch: realisticPatch(index),
before,
after,
},
],
},
time: { start: 1690000001500 + index * 2_000, end: 1690000001700 + index * 2_000 },
},
},
]
: []),
]
return [
{
info: {
id: userID,
sessionID,
role: "user",
time: { created: 1690000000000 + index * 2_000 },
summary: { diffs: [] },
agent: "build",
model,
},
parts: [
{
id: `prt_0000_${suffix}_user`,
sessionID,
messageID: userID,
type: "text",
text: `Historical prompt ${index}`,
},
],
},
{
info: {
id: assistantID,
sessionID,
role: "assistant",
time: { created: 1690000001000 + index * 2_000, completed: 1690000001500 + index * 2_000 },
parentID: userID,
modelID: model.modelID,
providerID: model.providerID,
mode: "build",
agent: "build",
path: { cwd: directory, root: directory },
cost: 0.01,
tokens: { input: 100, output: 200, reasoning: 0, cache: { read: 0, write: 0 } },
variant: "max",
finish: "stop",
},
parts,
},
]
}
function historicalMarkdown(index: number) {
const code = `import { For, Show, createSignal } from "solid-js"
type SessionRow = { id: string; title: string; active: boolean }
export function SessionList(props: { rows: SessionRow[] }) {
const [selected, setSelected] = createSignal<string>()
return (
<section aria-label="Sessions">
<For each={props.rows}>{(row) => (
<button classList={{ active: row.active }} onClick={() => setSelected(row.id)}>
<Show when={selected() === row.id} fallback={row.title}>{row.title.toUpperCase()}</Show>
</button>
)}</For>
</section>
)
}`
return `## Session renderer review ${index}
The active session keeps **semantic row identity** while reconciling measured content. See [Solid documentation](https://docs.solidjs.com/) and the inline \`measureElement(node)\` call.
| Concern | Current behavior | Verification |
| --- | --- | --- |
| streaming | appends Markdown blocks | painted frames |
| geometry | anchors visible rows | DOM coordinates |
| tools | preserves expanded state | keyed remount probe |
> Long sessions combine Markdown, syntax highlighting, tool output, and asynchronously rendered diffs.
${index % 4 === 0 ? `\`\`\`tsx\n${code}\n\`\`\`\n\n\`\`\`bash\nbun typecheck\nbun test --preload ./happydom.ts ./src/pages/session\ngit diff --check\n\`\`\`` : "- preserve the viewport anchor\n- avoid replacing stable Markdown nodes\n- process provider deltas without blocking input"}`
}
function historicalSource(index: number, updated: boolean) {
const method = updated ? "toLocaleUpperCase(props.locale)" : "toUpperCase()"
const limit = updated ? 24 : 20
return `import { createMemo, For } from "solid-js"
type Message = {
id: string
role: "user" | "assistant"
text: string
tokens: { input: number; output: number }
}
export function MessageSummary(props: { messages: Message[]; locale: string }) {
const visible = createMemo(() => props.messages.filter((message) => message.text.trim()).slice(-${limit}))
const total = createMemo(() => visible().reduce((sum, message) => sum + message.tokens.output, 0))
return (
<article data-session-index="${index}">
<header>{total().toLocaleString(props.locale)} output tokens</header>
<For each={visible()}>{(message) => <p data-role={message.role}>{message.text.${method}}</p>}</For>
</article>
)
}
`
}
function realisticPatch(index: number) {
return `*** Begin Patch
*** Update File: src/components/SessionCard.tsx
@@
-const title = props.session.title.toUpperCase()
-const messages = props.messages.slice(-20)
+const title = props.session.title.toLocaleUpperCase(props.locale)
+const messages = props.messages.filter((message) => message.text.trim()).slice(-24)
+const outputTokens = messages.reduce((sum, message) => sum + message.tokens.output, 0)
@@
- <h2>{title}</h2>
+ <h2 data-session-index="${index}">{title}</h2>
+ <span>{outputTokens.toLocaleString(props.locale)} output tokens</span>
*** End Patch`
}
export function streamChunk(index: number, count: number) {
if (index === 0) return `\n\n## Implementation plan\n\nStreaming **bold analysis`
if (index === count - 1)
return `\n\`\`\`\n\n## Verification\n\n- **Typecheck:** passed\n- **Timeline geometry:** stable\n- **Streaming output:** benchmark-complete <!-- stream-${index} -->`
const section = Math.floor(index / 18) + 1
const fragments = [
` continues across three`,
` or four word`,
` provider deltas and`,
` closes in this fragment**. <!-- stream-${index} -->\n\n`,
`| Concern | State`,
` | Verification |\n|`,
` --- | ---`,
` | --- |\n|`,
` markdown | incremental |`,
` painted frames | <!-- stream-${index} -->\n\n`,
`\`\`\`tsx\nconst row: SessionRow`,
` = rows[index] ??`,
` fallback\nconst title =`,
` row.title.toLocaleUpperCase(locale)\n`,
`const selected = createMemo(()`,
` => row.id ===`,
` activeID()) // stream-${index}\n`,
`// stream-${index}\n\`\`\`\n\n### Iteration ${section}\n\nStreaming **bold analysis`,
]
return fragments[(index - 1) % fragments.length]!
}
function project() {
return {
id: projectID,
worktree: directory,
vcs: "git",
name: "timeline-state-regression",
time: { created: 1700000000000, updated: 1700000000000 },
sandboxes: [],
}
}
function session() {
return {
id: sessionID,
slug: "timeline-state-regression",
projectID,
directory,
title,
version: "dev",
time: { created: 1700000000000, updated: 1700000000000 },
}
}
function provider() {
return {
all: [
{
id: "opencode",
name: "OpenCode",
models: { "claude-opus-4-6": { id: "claude-opus-4-6", name: "Claude Opus 4.6", limit: { context: 200_000 } } },
},
],
connected: ["opencode"],
default: { providerID: "opencode", modelID: "claude-opus-4-6" },
}
}
@@ -0,0 +1,85 @@
import { benchmark, benchmarkDiagnostics, expect } from "../benchmark"
import {
buildInitialStreamEvent,
buildStreamDeltaEvents,
setupTimelineBenchmark,
textPartID,
} from "./session-timeline-benchmark.fixture"
import { startTimelineProfile } from "./session-timeline-profile"
import {
collectTimelineStreamMetrics,
installTimelineStreamProbe,
startTimelineStreamProbe,
} from "./session-timeline-stream-probe"
benchmark.describe("performance: session timeline streaming", () => {
benchmark("streams assistant text without remounting or oscillating", async ({ page, report }) => {
benchmark.setTimeout(480_000)
const cpuThrottle = Number(process.env.TIMELINE_CPU_THROTTLE ?? 30)
const deltaCount = Number(process.env.TIMELINE_DELTA_COUNT ?? 160)
const historyTurns = Number(process.env.TIMELINE_HISTORY_TURNS ?? 320)
const eventBatch = Number(process.env.TIMELINE_EVENT_BATCH ?? 1)
const minimal = process.env.TIMELINE_MINIMAL === "1"
const profileCPU = process.env.TIMELINE_CPU_PROFILE === "1"
const profileVisual = !minimal && profileCPU && process.env.TIMELINE_VISUAL_PROFILE !== "0"
const fixture = await setupTimelineBenchmark(page, {
historyTurns,
eventBatch,
})
fixture.transport.enqueue(buildInitialStreamEvent(deltaCount))
const contentStart = performance.now()
await expect(fixture.text).toBeVisible()
await expect(fixture.text).toContainText("Implementation plan")
const initialContentObservedMs = performance.now() - contentStart
await fixture.scrollToBottom()
await fixture.waitForStableGeometry()
const profile = await startTimelineProfile(page, { cpuThrottle, profileCPU })
await installTimelineStreamProbe(page, { textPartID, finalIndex: deltaCount, profileVisual, minimal })
const deltas = buildStreamDeltaEvents(deltaCount)
await startTimelineStreamProbe(page)
fixture.transport.enqueue(deltas)
await page.waitForFunction(
(finalIndex) =>
(
window as Window & {
__timelineStreamBenchmark?: { applied: { index: number }[] }
}
).__timelineStreamBenchmark?.applied.some((value) => value.index === finalIndex),
deltaCount,
{ timeout: 420_000 },
)
await expect(fixture.text).toContainText("benchmark-complete")
await expect(fixture.text).toContainText("Streaming")
await fixture.waitForStableGeometry()
const metrics = await collectTimelineStreamMetrics(page, {
textPartID,
finalIndex: deltaCount,
navigations: benchmarkDiagnostics(page).navigations,
})
const delivered = deltas.length - fixture.transport.pendingCount()
await profile.stop()
report(
{
endToEndInitialContentObservedMs: initialContentObservedMs,
...metrics,
deliveredDeltas: delivered,
pendingDeltas: fixture.transport.pendingCount(),
},
{
cpuThrottle,
profileCPU,
profileVisual,
minimal,
queuedDeltas: deltas.length,
historyTurns,
eventBatch,
},
)
await profile.reset()
})
})
@@ -0,0 +1,40 @@
import type { CDPSession, Page } from "@playwright/test"
export async function startTimelineProfile(page: Page, options: { cpuThrottle: number; profileCPU: boolean }) {
const cdp = await page.context().newCDPSession(page)
if (options.cpuThrottle > 1) await cdp.send("Emulation.setCPUThrottlingRate", { rate: options.cpuThrottle })
if (options.profileCPU) {
await cdp.send("Profiler.enable")
await cdp.send("Profiler.setSamplingInterval", { interval: 100 })
await cdp.send("Profiler.start")
}
return {
async stop() {
if (!options.profileCPU) return
const result = await cdp.send("Profiler.stop")
const self = new Map<number, number>()
result.profile.samples?.forEach((id, index) => {
const duration = (result.profile.timeDeltas?.[index] ?? 0) / 1_000
self.set(id, (self.get(id) ?? 0) + duration)
})
console.log(
"timeline cpu profile",
JSON.stringify(
result.profile.nodes
.map((node) => ({
function: node.callFrame.functionName || "(anonymous)",
url: node.callFrame.url,
line: node.callFrame.lineNumber + 1,
selfMs: self.get(node.id) ?? 0,
}))
.filter((node) => node.selfMs > 1)
.sort((a, b) => b.selfMs - a.selfMs)
.slice(0, 40),
),
)
},
async reset() {
if (options.cpuThrottle > 1) await cdp.send("Emulation.setCPUThrottlingRate", { rate: 1 })
},
}
}
@@ -0,0 +1,547 @@
import type { Page } from "@playwright/test"
const STREAM_MARKER_PATTERN = "stream-(\\d+)"
const STREAM_FRAGMENT_COUNT = 18
type TimelineProbeState = {
started: number
ended: number
profileVisual: boolean
minimal: boolean
frames: number[]
frameAt: number[]
applied: { at: number; index: number }[]
geometry: {
scrollTop: number
scrollHeight: number
clientHeight: number
distance: number
virtualHeight: number
headerHeight: number
}[]
blanks: number
longTasks: number[]
layoutShifts: number[]
visibleMounts: number
visibleUnmounts: number
visibleRows: Set<Element>
visibleSubtreeMounts: string[]
visibleSubtreeUnmounts: string[]
visibleSubtreeReplacements: number
visibleSubtreeDropouts: string[]
visibleSubtrees: Map<string, Element>
subtreeKeys: WeakMap<Element, string>
maxOverlap: number
maxGap: number
maxPartTopMovement: number
previousPartTop: number
slowFrames: {
duration: number
index: number
phase: "stream" | "boundary" | "complete" | "unknown"
tokenSpans: number
blocks: number
codeBlocks: number
height: number
distance: number
}[]
scroll: {
calls: number
callNoops: number
sameFrameCalls: number
assignments: number
assignmentNoops: number
lastCallFrame: number
frame: number
}
row: HTMLElement
markdown: HTMLElement
running: boolean
previous: number
cleanup: () => void
start: () => void
}
export async function installTimelineStreamProbe(
page: Page,
options: { textPartID: string; finalIndex: number; profileVisual: boolean; minimal: boolean },
) {
await page.evaluate(
({ textPartID, finalIndex, profileVisual, minimal, markerPattern, fragmentCount }) => {
const part = document.querySelector<HTMLElement>(`[data-timeline-part-id="${textPartID}"]`)
const row = part?.closest<HTMLElement>("[data-timeline-row]")
const markdown = part?.querySelector<HTMLElement>('[data-component="markdown"]')
const root = part?.closest<HTMLElement>(".scroll-view__viewport")
if (!part || !row || !markdown || !root) throw new Error("missing streaming benchmark nodes")
const viewport = root.getBoundingClientRect()
const state: TimelineProbeState = {
started: 0,
ended: Infinity,
profileVisual,
minimal,
frames: [],
frameAt: [],
applied: [],
geometry: [],
blanks: 0,
longTasks: [],
layoutShifts: [],
visibleMounts: 0,
visibleUnmounts: 0,
visibleRows: new Set(
[...root.querySelectorAll("[data-timeline-key]")].filter((element) => {
const rect = element.getBoundingClientRect()
return rect.bottom > viewport.top && rect.top < viewport.bottom
}),
),
visibleSubtreeMounts: [],
visibleSubtreeUnmounts: [],
visibleSubtreeReplacements: 0,
visibleSubtreeDropouts: [],
visibleSubtrees: new Map<string, Element>(),
subtreeKeys: new WeakMap<Element, string>(),
maxOverlap: 0,
maxGap: 0,
maxPartTopMovement: 0,
previousPartTop: part.getBoundingClientRect().top,
slowFrames: [],
scroll: {
calls: 0,
callNoops: 0,
sameFrameCalls: 0,
assignments: 0,
assignmentNoops: 0,
lastCallFrame: -1,
frame: 0,
},
row,
markdown,
running: false,
previous: 0,
cleanup: () => {},
start: () => {},
}
;(window as Window & { __timelineStreamBenchmark?: TimelineProbeState }).__timelineStreamBenchmark = state
const scrollTo = Element.prototype.scrollTo
const scrollTop = Object.getOwnPropertyDescriptor(Element.prototype, "scrollTop")!
if (profileVisual) {
Element.prototype.scrollTo = function (...args) {
state.scroll.calls += 1
const top = typeof args[0] === "object" ? args[0]?.top : args[1]
if (typeof top === "number") {
const target = Math.min(top, this.scrollHeight - this.clientHeight)
if (Math.abs(this.scrollTop - target) < 1) state.scroll.callNoops += 1
}
if (state.scroll.lastCallFrame === state.scroll.frame) state.scroll.sameFrameCalls += 1
state.scroll.lastCallFrame = state.scroll.frame
return scrollTo.apply(this, args)
}
Object.defineProperty(Element.prototype, "scrollTop", {
configurable: true,
get: scrollTop.get,
set(value) {
state.scroll.assignments += 1
if (Math.abs(this.scrollTop - value) < 1) state.scroll.assignmentNoops += 1
scrollTop.set!.call(this, value)
},
})
}
const recordLongTasks = (entries: PerformanceEntry[]) => {
if (!state.running) return
state.longTasks.push(
...entries
.filter((entry) => entry.startTime >= state.started && entry.startTime <= state.ended)
.map((entry) => entry.duration),
)
}
const longTaskObserver = new PerformanceObserver((list) => recordLongTasks(list.getEntries()))
longTaskObserver.observe({ type: "longtask" })
const recordLayoutShifts = (entries: PerformanceEntry[]) => {
if (!state.running) return
state.layoutShifts.push(
...entries
.map((entry) => {
const shift = entry as LayoutShiftEntry
if (shift.startTime < state.started || shift.hadRecentInput) return
return shift.value
})
.filter((value): value is number => value !== undefined),
)
}
const layoutShiftObserver = profileVisual
? new PerformanceObserver((list) => recordLayoutShifts(list.getEntries()))
: undefined
layoutShiftObserver?.observe({ type: "layout-shift", buffered: true })
const visible = (element: Element) => {
const rect = element.getBoundingClientRect()
const viewport = root.getBoundingClientRect()
const style = getComputedStyle(element)
return (
element.isConnected &&
rect.width > 0 &&
rect.height > 0 &&
rect.bottom > viewport.top &&
rect.top < viewport.bottom &&
style.display !== "none" &&
style.visibility !== "hidden" &&
Number(style.opacity) > 0
)
}
const critical = [
"[data-timeline-part-id]",
'[data-component="edit-content"]',
'[data-component="apply-patch-file-diff"]',
'[data-component="file"]',
'[data-component="markdown-code"]',
"[data-markdown-block]",
].join(",")
const describe = (element: Element) => {
const cached = state.subtreeKeys.get(element)
if (!element.isConnected && cached) return cached
const part = element.closest<HTMLElement>("[data-timeline-part-id]")?.dataset.timelinePartId ?? "unknown"
const block = element
.closest<HTMLElement>("[data-markdown-key]")
?.dataset.markdownKey?.replace(/:(?:code|full|live)$/, "")
const component =
element.getAttribute("data-component") ?? element.getAttribute("data-markdown-block") ?? element.tagName
const key = `${part}:${block ?? "root"}:${component}`
state.subtreeKeys.set(element, key)
return key
}
const recordMutations = (records: MutationRecord[]) => {
if (!state.running) return
records.forEach((record) => {
record.addedNodes.forEach((node) => {
if (node instanceof HTMLElement && node.matches("[data-timeline-key]") && visible(node)) {
state.visibleMounts += 1
state.visibleRows.add(node)
}
if (!(node instanceof Element)) return
const added = [node, ...node.querySelectorAll(critical)].filter((element) => element.matches(critical))
added.forEach((element) => {
if (visible(element)) state.visibleSubtreeMounts.push(describe(element))
})
})
record.removedNodes.forEach((node) => {
if (node instanceof HTMLElement && node.matches("[data-timeline-key]") && state.visibleRows.delete(node))
state.visibleUnmounts += 1
if (!(node instanceof Element)) return
const removed = [node, ...node.querySelectorAll(critical)].filter((element) => element.matches(critical))
removed.forEach((element) => {
const key = describe(element)
if (state.visibleSubtrees.get(key) === element) state.visibleSubtreeUnmounts.push(key)
})
})
})
}
const mutationObserver = profileVisual ? new MutationObserver(recordMutations) : undefined
mutationObserver?.observe(root, { childList: true, subtree: true })
const currentPart = () => root.querySelector<HTMLElement>(`[data-timeline-part-id="${textPartID}"]`)
const observeProgress = (at: number) => {
if (!state.running) return
const content = currentPart()?.textContent ?? ""
const index = content.includes("benchmark-complete")
? finalIndex
: Number(content.match(new RegExp(markerPattern, "g"))?.at(-1)?.match(/\d+/)?.[0] ?? -1)
if (index >= 0 && index !== state.applied.at(-1)?.index) state.applied.push({ at, index })
}
const progressObserver = new MutationObserver(() => observeProgress(performance.now()))
progressObserver.observe(root, { characterData: true, childList: true, subtree: true })
state.cleanup = () => {
recordLongTasks(longTaskObserver.takeRecords())
recordLayoutShifts(layoutShiftObserver?.takeRecords() ?? [])
recordMutations(mutationObserver?.takeRecords() ?? [])
if (progressObserver.takeRecords().length) observeProgress(performance.now())
longTaskObserver.disconnect()
layoutShiftObserver?.disconnect()
mutationObserver?.disconnect()
progressObserver.disconnect()
if (!profileVisual) return
Element.prototype.scrollTo = scrollTo
Object.defineProperty(Element.prototype, "scrollTop", scrollTop)
}
const sample = (now: number) => {
if (!state.running) return
state.frameAt.push(now)
observeProgress(now)
if (minimal) {
state.frames.push(now - state.previous)
state.previous = now
requestAnimationFrame(sample)
return
}
setTimeout(() => {
if (!state.running) return
state.scroll.frame += 1
const duration = now - state.previous
state.frames.push(duration)
state.previous = now
const virtualRoot = root.querySelector<HTMLElement>("[data-timeline-virtual-content]")
const header = root.querySelector<HTMLElement>("[data-session-title]")
state.geometry.push({
scrollTop: root.scrollTop,
scrollHeight: root.scrollHeight,
clientHeight: root.clientHeight,
distance: root.scrollHeight - root.clientHeight - root.scrollTop,
virtualHeight: virtualRoot?.getBoundingClientRect().height ?? 0,
headerHeight: header?.getBoundingClientRect().height ?? 0,
})
const viewport = root.getBoundingClientRect()
if (profileVisual) {
const visibleRows = [...root.querySelectorAll<HTMLElement>("[data-timeline-key]")]
.map((element) => ({ element, rect: element.getBoundingClientRect() }))
.filter((item) => item.rect.bottom > viewport.top && item.rect.top < viewport.bottom)
.sort((a, b) => a.rect.top - b.rect.top)
state.visibleRows = new Set(visibleRows.map((item) => item.element))
const rows = visibleRows.map((item) => item.rect)
rows.slice(1).forEach((rect, index) => {
const previous = rows[index]!
state.maxOverlap = Math.max(state.maxOverlap, previous.bottom - rect.top)
state.maxGap = Math.max(state.maxGap, rect.top - previous.bottom)
})
const partTop = part.getBoundingClientRect().top
state.maxPartTopMovement = Math.max(state.maxPartTopMovement, Math.abs(partTop - state.previousPartTop))
state.previousPartTop = partTop
}
const visibleRow = [...root.querySelectorAll<HTMLElement>("[data-timeline-row]")].some((element) => {
const rect = element.getBoundingClientRect()
return rect.bottom > viewport.top && rect.top < viewport.bottom
})
if (!visibleRow) state.blanks += 1
if (profileVisual) {
const subtrees = new Map<string, { element: Element; rendered: boolean }>()
const visibleSubtrees = new Map<string, Element>()
root.querySelectorAll(critical).forEach((element) => {
const key = describe(element)
const rect = element.getBoundingClientRect()
const style = getComputedStyle(element)
const rendered =
element.isConnected &&
rect.width > 0 &&
rect.height > 0 &&
style.display !== "none" &&
style.visibility !== "hidden" &&
Number(style.opacity) > 0
subtrees.set(key, { element, rendered })
if (rendered && rect.bottom > viewport.top && rect.top < viewport.bottom) {
const previous = state.visibleSubtrees.get(key)
if (previous && previous !== element && key.startsWith(`${textPartID}:`))
state.visibleSubtreeReplacements += 1
visibleSubtrees.set(key, element)
}
})
state.visibleSubtrees.forEach((element, key) => {
const current = subtrees.get(key)
if (key.startsWith(`${textPartID}:`) && !current?.rendered) {
const markdown = part.querySelector<HTMLElement>('[data-component="markdown"]')
state.visibleSubtreeDropouts.push(
`${key}:projection=${markdown?.dataset.markdownProjectionLength}/${markdown?.dataset.markdownProjectionBlocks}:result=${markdown?.dataset.markdownResultLength}/${markdown?.dataset.markdownResultBlocks}:applied=${markdown?.dataset.markdownAppliedBlocks}:dom=${markdown?.children.length}`,
)
}
if (element.matches('[data-component="file"]')) {
const hadLines = element.hasAttribute("data-profiler-had-lines")
const hasLines = element.shadowRoot?.querySelector("[data-line]") != null
if (hasLines) element.setAttribute("data-profiler-had-lines", "")
if (hadLines && !hasLines) state.visibleSubtreeDropouts.push(`${key}:shadow-lines`)
}
})
state.visibleSubtrees = visibleSubtrees
}
if (profileVisual && duration > 33.34) {
const livePart = currentPart()
const content = livePart?.textContent ?? ""
const complete = content.includes("benchmark-complete")
const index = complete
? finalIndex
: Number(content.match(new RegExp(markerPattern, "g"))?.at(-1)?.match(/\d+/)?.[0] ?? -1)
state.slowFrames.push({
duration,
index,
phase: complete
? "complete"
: index >= 0 && index % fragmentCount === 0
? "boundary"
: index >= 0
? "stream"
: "unknown",
tokenSpans: livePart?.querySelectorAll(".shiki span").length ?? 0,
blocks: livePart?.querySelectorAll("[data-markdown-block]").length ?? 0,
codeBlocks: livePart?.querySelectorAll('[data-component="markdown-code"]').length ?? 0,
height: livePart?.getBoundingClientRect().height ?? 0,
distance: root.scrollHeight - root.clientHeight - root.scrollTop,
})
}
requestAnimationFrame(sample)
}, 0)
}
state.start = () => {
state.started = performance.now()
state.previous = state.started
state.running = true
requestAnimationFrame(sample)
}
},
{ ...options, markerPattern: STREAM_MARKER_PATTERN, fragmentCount: STREAM_FRAGMENT_COUNT },
)
}
export function startTimelineStreamProbe(page: Page) {
return page.evaluate(() => {
const state = (window as Window & { __timelineStreamBenchmark?: TimelineProbeState }).__timelineStreamBenchmark
if (!state) throw new Error("missing streaming benchmark state")
state.start()
})
}
type LayoutShiftEntry = PerformanceEntry & { value: number; hadRecentInput?: boolean }
export function layoutShiftValue(
entry: Pick<LayoutShiftEntry, "startTime" | "value" | "hadRecentInput">,
start: number,
) {
if (entry.startTime < start || entry.hadRecentInput) return
return entry.value
}
export function removeVisibleRow<T>(visible: Set<T>, row: T) {
return visible.delete(row)
}
export function streamProgress(content: string) {
const index = Number(content.match(new RegExp(STREAM_MARKER_PATTERN, "g"))?.at(-1)?.match(/\d+/)?.[0] ?? -1)
return {
index,
phase: content.includes("benchmark-complete")
? ("complete" as const)
: index >= 0 && index % STREAM_FRAGMENT_COUNT === 0
? ("boundary" as const)
: index >= 0
? ("stream" as const)
: ("unknown" as const),
}
}
export async function collectTimelineStreamMetrics(
page: Page,
options: { textPartID: string; finalIndex: number; navigations: string[] },
) {
return page.evaluate(({ textPartID, finalIndex, navigations }) => {
const state = (window as Window & { __timelineStreamBenchmark?: TimelineProbeState }).__timelineStreamBenchmark
if (!state) throw new Error(`missing streaming benchmark state after navigation: ${JSON.stringify(navigations)}`)
state.ended = performance.now()
state.cleanup()
state.running = false
const part = document.querySelector<HTMLElement>(`[data-timeline-part-id="${textPartID}"]`)
const row = part?.closest<HTMLElement>("[data-timeline-row]")
const markdown = part?.querySelector<HTMLElement>('[data-component="markdown"]')
const sorted = state.frames.slice().sort((a, b) => a - b)
const duration = state.frames.reduce((sum, value) => sum + value, 0)
const longestSlowStreak = state.frames.reduce(
(result, value) => {
const current = value > 33.34 ? result.current + 1 : 0
return { current, longest: Math.max(result.longest, current) }
},
{ current: 0, longest: 0 },
).longest
const busyStart = state.applied.at(0)?.at
const completion = state.applied.find((value) => value.index === finalIndex)
const busyEnd = completion?.at
const busyFrames =
busyStart === undefined || busyEnd === undefined
? []
: state.frames.filter((_, index) => state.frameAt[index]! >= busyStart && state.frameAt[index]! <= busyEnd)
const busySorted = busyFrames.slice().sort((a, b) => a - b)
const busyDuration = busyFrames.reduce((sum, value) => sum + value, 0)
const completionObservedMs = (completion?.at ?? NaN) - state.started
const visual = state.profileVisual
? {
layoutShiftValueSum: state.layoutShifts.reduce((sum, value) => sum + value, 0),
maxLayoutShiftValue: Math.max(0, ...state.layoutShifts),
visibleMounts: state.visibleMounts,
visibleUnmounts: state.visibleUnmounts,
visibleSubtreeMounts: state.visibleSubtreeMounts,
visibleSubtreeUnmounts: [...new Set(state.visibleSubtreeUnmounts)],
visibleSubtreeReplacements: state.visibleSubtreeReplacements,
visibleSubtreeDropouts: [...new Set(state.visibleSubtreeDropouts)],
maxOverlapPx: state.maxOverlap,
maxGapPx: state.maxGap,
maxPartTopMovementPx: state.maxPartTopMovement,
slowestRafGaps: state.slowFrames
.sort((a, b) => b.duration - a.duration)
.slice(0, 20)
.map((frame) => ({
durationMs: frame.duration,
index: frame.index,
phase: frame.phase,
tokenSpans: frame.tokenSpans,
blocks: frame.blocks,
codeBlocks: frame.codeBlocks,
heightPx: frame.height,
distancePx: frame.distance,
})),
slowRafGapPhases: Object.fromEntries(
["stream", "boundary", "complete", "unknown"].map((phase) => {
const frames = state.slowFrames.filter((frame) => frame.phase === phase)
return [
phase,
{
count: frames.length,
totalMs: frames.reduce((sum, frame) => sum + frame.duration, 0),
maxMs: Math.max(0, ...frames.map((frame) => frame.duration)),
},
]
}),
),
scroll: state.scroll,
}
: null
const geometry = state.minimal
? null
: {
maxDistancePx: Math.max(0, ...state.geometry.map((sample) => sample.distance)),
finalDistancePx: state.geometry.at(-1)?.distance ?? 0,
final: state.geometry.at(-1),
distanceTransitionsPx: state.geometry
.map((sample) => Math.round(sample.distance))
.filter((value, index, values) => index === 0 || value !== values[index - 1]),
bottomDriftTransitions: state.geometry.slice(1).filter((value, index) => {
const previous = state.geometry[index]?.distance ?? 0
return previous <= 1 && value.distance > 1
}).length,
blankSamples: state.blanks,
}
return {
capabilities: { visual: state.profileVisual, geometry: !state.minimal },
completionObservedMs,
deltasPerSecond: Number.isFinite(completionObservedMs) ? finalIndex / (completionObservedMs / 1_000) : null,
rafGapSamples: state.frames.length,
rafCallbackRate: duration ? (state.frames.length * 1000) / duration : 0,
observedProgressWindowRafCallbackRate: busyDuration ? (busyFrames.length * 1000) / busyDuration : null,
observedProgressWindowRafGapP95Ms: busySorted[Math.floor(busySorted.length * 0.95)] ?? null,
observedProgressWindowRafGaps: busyFrames.length,
maxObservedProgressIndex: Math.max(-1, ...state.applied.map((value) => value.index)),
observedProgressTransitions: state.applied.length,
rafGapP50Ms: sorted[Math.floor(sorted.length * 0.5)] ?? 0,
rafGapP95Ms: sorted[Math.floor(sorted.length * 0.95)] ?? 0,
rafGapP99Ms: sorted[Math.floor(sorted.length * 0.99)] ?? 0,
maxRafGapMs: sorted.at(-1) ?? 0,
rafGapsOver33Ms: state.frames.filter((value) => value > 33.34).length,
rafGapsOver50Ms: state.frames.filter((value) => value > 50).length,
missedFrameBudgetEquivalents: state.frames.reduce(
(sum, value) => sum + Math.max(0, Math.round(value / 16.67) - 1),
0,
),
longestRafGapOver33MsStreak: longestSlowStreak,
longTaskCount: state.longTasks.length,
longTaskTimeMs: state.longTasks.reduce((sum, value) => sum + value, 0),
visual,
geometry,
rowReplaced: row !== state.row,
markdownReplaced: markdown !== state.markdown,
domTextCharacters: part?.textContent?.length ?? 0,
}
}, options)
}
@@ -0,0 +1,335 @@
const words = [
"alpha",
"bravo",
"charlie",
"delta",
"echo",
"foxtrot",
"golf",
"hotel",
"india",
"juliet",
"kilo",
"lima",
"metro",
"nova",
"orbit",
"pixel",
"quartz",
"river",
"signal",
"vector",
]
const sourceID = "ses_smoke_source"
const targetID = "ses_smoke_target"
const directory = "C:/OpenCode/SmokeProject"
const projectID = "proj_smoke_timeline"
const model = { providerID: "opencode", modelID: "claude-opus-4-6", variant: "max" }
type MessageInfo = Record<string, unknown> & { id: string; role: "user" | "assistant" }
type MessagePart = Record<string, unknown> & { id: string; type: string; text?: string; tool?: string }
type Message = { info: MessageInfo; parts: MessagePart[] }
function lorem(seed: number, length: number) {
let out = ""
let i = seed
while (out.length < length) {
const word = words[i % words.length]
out += (out ? " " : "") + word
if (i % 17 === 0) out += ".\n\n"
i += 7
}
return out.slice(0, length)
}
function id(prefix: string, value: number) {
return `${prefix}_smoke_${String(value).padStart(4, "0")}`
}
function userMessage(sessionID: string, index: number, textLength: number, diffs: unknown[] = []): Message {
const messageID = id("msg_user", index)
return {
info: {
id: messageID,
sessionID,
role: "user",
time: { created: 1700000000000 + index * 10_000 },
summary: { diffs },
agent: "build",
model,
},
parts: [
{
id: id("prt_user_text", index),
sessionID,
messageID,
type: "text",
text: lorem(index, textLength),
},
],
}
}
function assistantMessage(sessionID: string, index: number, parentID: string, parts: MessagePart[]): Message {
const messageID = id("msg_assistant", index)
return {
info: {
id: messageID,
sessionID,
role: "assistant",
time: { created: 1700000000000 + index * 10_000 + 1_000, completed: 1700000000000 + index * 10_000 + 8_000 },
parentID,
modelID: model.modelID,
providerID: model.providerID,
mode: "build",
agent: "build",
path: { cwd: directory, root: directory },
cost: 0.01,
tokens: { input: 100, output: 200, reasoning: 0, cache: { read: 0, write: 0 } },
variant: "max",
finish: "stop",
},
parts: parts.map((part) => ({
...part,
sessionID,
messageID,
})),
}
}
function textPart(index: number, partIndex: number, length: number): MessagePart {
const prose = lorem(index * 13 + partIndex, length)
const text =
index % 12 === 0
? `${prose}\n\n\`\`\`ts\n${code(index, 80)}\n\`\`\``
: index % 5 === 0
? `${prose}\n\n\`\`\`ts\nexport const value = "${lorem(index, 220)}"\n\`\`\``
: index % 7 === 0
? `${prose}\n\nThe wrapped inline value is \`${lorem(index, 180)}\`.`
: prose
return { id: id(`prt_text_${partIndex}`, index), type: "text", text }
}
function reasoningPart(index: number, partIndex: number, length: number): MessagePart {
return {
id: id(`prt_reasoning_${partIndex}`, index),
type: "reasoning",
text: lorem(index * 19 + partIndex, length),
time: { start: 1700000000000 + index * 10_000, end: 1700000000000 + index * 10_000 + 500 },
}
}
function toolPart(
index: number,
partIndex: number,
tool: string,
input: Record<string, unknown>,
outputLength = 160,
): MessagePart {
const metadata =
tool === "apply_patch"
? { files: [patchFile(index, "update"), patchFile(index + 1, index % 2 === 0 ? "add" : "delete")] }
: tool === "edit" || tool === "write"
? {
filediff: fileDiff(String(input.filePath ?? `src/generated/file-${index}.ts`), index),
diff: patch(index, outputLength),
preview: patch(index + 1, 420),
}
: tool === "question"
? { answers: [["Proceed"], ["Keep sample output"]] }
: {}
return {
id: id(`prt_tool_${tool}_${partIndex}`, index),
type: "tool",
callID: id("call", index * 10 + partIndex),
tool,
state: {
status: "completed",
input,
output: lorem(index * 23 + partIndex, outputLength),
title: tool === "bash" ? "Verify generated output" : input.filePath || input.path || input.pattern || "completed",
metadata,
time: { start: 1700000000000 + index * 10_000, end: 1700000000000 + index * 10_000 + 400 },
},
}
}
function patchFile(seed: number, type: "add" | "update" | "delete") {
return {
filePath: `src/generated/patch-${seed}.ts`,
relativePath: `src/generated/patch-${seed}.ts`,
type,
additions: (seed % 7) + 1,
deletions: type === "add" ? 0 : seed % 4,
patch: patch(seed, 520),
before: type === "add" ? undefined : code(seed, 18),
after: type === "delete" ? undefined : code(seed + 1, 24),
}
}
function fileDiff(file: string, seed: number) {
const lines = seed % 12 === 0 ? 300 : seed % 8 === 0 ? 2 : 38
const before = code(seed, lines, seed % 10 === 0 ? 280 : 32)
const after =
lines === 2
? before.replace("value1", "updatedValue1")
: lines === 300
? code(seed + 1, lines, seed % 10 === 0 ? 280 : 32)
: before.replace("value4", "updatedValue4").replace("value20", "updatedValue20")
return {
file,
additions: lines === 300 ? 300 : lines === 2 ? 1 : 2,
deletions: lines === 300 ? 300 : lines === 2 ? 1 : 2,
before,
after,
}
}
function patch(seed: number, length: number) {
return `diff --git a/src/generated/file-${seed}.ts b/src/generated/file-${seed}.ts\n+${lorem(seed, length).replace(/\n/g, "\n+")}`
}
function code(seed: number, lines: number, width = 32) {
return Array.from(
{ length: lines },
(_, index) => `export const value${index} = "${lorem(seed + index, width)}"`,
).join("\n")
}
function turn(index: number): Message[] {
const diff = index % 9 === 0 ? [fileDiff(`src/generated/summary-${index}.ts`, index)] : []
const user = userMessage(targetID, index, 100 + (index % 4) * 80, diff)
const parts = [
...(index % 5 === 0 ? [reasoningPart(index, 0, 420)] : []),
...(index % 3 === 0
? [
toolPart(index, 0, "read", { filePath: `src/generated/file-${index}.ts`, offset: 0, limit: 80 }, 220),
toolPart(index, 5, "glob", { path: directory, pattern: `**/*sample-${index}*.ts` }, 140),
toolPart(index, 1, "grep", { path: directory, pattern: `sample-${index}`, include: "*.ts" }, 180),
toolPart(index, 6, "list", { path: `src/generated/${index}` }, 120),
]
: []),
textPart(index, 2, 160 + (index % 6) * 90),
...(index % 4 === 0 ? [toolPart(index, 3, "edit", { filePath: `src/generated/file-${index}.ts` }, 700)] : []),
...(index % 6 === 0
? [toolPart(index, 7, "write", { filePath: `src/generated/write-${index}.ts`, content: code(index, 28) }, 560)]
: []),
...(index % 8 === 0
? [toolPart(index, 8, "apply_patch", { files: [`src/generated/patch-${index}.ts`] }, 620)]
: []),
...(index % 7 === 0
? [toolPart(index, 4, "bash", { command: "bun typecheck", description: "Verify generated output" }, 620)]
: []),
...(index % 10 === 0 ? [toolPart(index, 9, "webfetch", { url: "https://example.com/docs/sample" }, 120)] : []),
...(index % 11 === 0 ? [toolPart(index, 10, "websearch", { query: "sample movement notes" }, 240)] : []),
...(index % 13 === 0
? [
toolPart(
index,
11,
"question",
{ questions: [{ question: "Use generated fixture?" }, { question: "Keep same row shape?" }] },
120,
),
]
: []),
...(index % 17 === 0
? [toolPart(index, 12, "task", { description: "Inspect generated fixture", subagent_type: "explore" }, 160)]
: []),
]
return [user, assistantMessage(targetID, index, user.info.id, parts)]
}
const targetMessages = Array.from({ length: 72 }, (_, index) => turn(index)).flat()
const sourceMessages = Array.from({ length: 12 }, (_, index) => [
userMessage(sourceID, index + 1000, 120),
assistantMessage(sourceID, index + 1000, id("msg_user", index + 1000), [textPart(index + 1000, 0, 240)]),
]).flat()
function renderable(part: MessagePart) {
if (part.type === "tool" && part.tool === "todowrite") return false
if (part.type === "text") return !!part.text.trim()
if (part.type === "reasoning") return !!part.text.trim()
return part.type !== "step-start" && part.type !== "step-finish" && part.type !== "patch"
}
function orderedParts(message: Message) {
return message.parts.slice().sort((a, b) => a.id.localeCompare(b.id))
}
export const fixture = {
directory,
project: {
id: projectID,
worktree: directory,
vcs: "git",
name: "smoke-project",
time: { created: 1700000000000, updated: 1700000000000 },
sandboxes: [],
},
provider: {
all: [
{
id: "opencode",
name: "OpenCode",
models: { "claude-opus-4-6": { id: "claude-opus-4-6", name: "Claude Opus 4.6", limit: { context: 200_000 } } },
},
],
connected: ["opencode"],
default: { providerID: "opencode", modelID: "claude-opus-4-6" },
},
sessions: [
{
id: sourceID,
slug: "source",
projectID,
directory,
title: "Uncommitted changes inquiry",
version: "dev",
time: { created: 1700000000000, updated: 1700000000000 },
},
{
id: targetID,
slug: "target",
projectID,
directory,
title: "Example Game: sample jump movement & sample physics analysis",
version: "dev",
time: { created: 1700000001000, updated: 1700000001000 },
},
],
sourceID,
targetID,
messages: { [sourceID]: sourceMessages, [targetID]: targetMessages },
expected: {
sourceTitle: "Uncommitted changes inquiry",
targetTitle: "Example Game: sample jump movement & sample physics analysis",
sourceMessageIDs: sourceMessages
.filter((message) => message.info.role === "user")
.map((message) => message.info.id),
targetMessageIDs: targetMessages
.filter((message) => message.info.role === "user")
.map((message) => message.info.id),
targetPartIDs: targetMessages.flatMap((message) =>
orderedParts(message)
.filter(renderable)
.map((part) => part.id),
),
},
}
export function pageMessages(sessionID: string, limit: number, before?: string) {
const messages = fixture.messages[sessionID as keyof typeof fixture.messages] ?? []
const end = before
? Math.max(
0,
messages.findIndex((message) => message.info.id === before),
)
: messages.length
const start = Math.max(0, end - limit)
return {
items: messages.slice(start, end),
cursor: start > 0 ? messages[start]!.info.id : undefined,
}
}
@@ -0,0 +1,67 @@
import type { Page } from "@playwright/test"
import { base64Encode } from "@opencode-ai/core/util/encode"
import { mockOpenCodeServer } from "../../utils/mock-server"
import { fixture } from "./session-timeline-stress.fixture"
export async function installTimelineSettings(page: Page) {
await page.addInitScript(() => {
localStorage.setItem(
"settings.v3",
JSON.stringify({
general: {
editToolPartsExpanded: true,
shellToolPartsExpanded: true,
showReasoningSummaries: true,
showSessionProgressBar: true,
},
}),
)
})
}
export function mockStressTimeline(page: Page) {
return mockOpenCodeServer(page, {
sessions: fixture.sessions,
provider: fixture.provider,
directory: fixture.directory,
project: fixture.project,
pageMessages: (sessionID) => ({ items: fixture.messages[sessionID as keyof typeof fixture.messages] ?? [] }),
})
}
export async function installStressSessionTabs(page: Page) {
const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
await page.addInitScript(
({ directory, sourceID, targetID, dirBase64, server }) => {
localStorage.setItem(
"opencode.global.dat:server",
JSON.stringify({
projects: { local: [{ worktree: directory, expanded: true }] },
lastProject: { local: directory },
}),
)
localStorage.setItem(
"opencode.global.dat:tabs",
JSON.stringify(
[sourceID, targetID].map((sessionId) => ({
type: "session",
server,
dirBase64,
sessionId,
})),
),
)
},
{
directory: fixture.directory,
sourceID: fixture.sourceID,
targetID: fixture.targetID,
dirBase64: base64Encode(fixture.directory),
server,
},
)
}
export function stressSessionHref(sessionID: string) {
return `/${base64Encode(fixture.directory)}/session/${sessionID}`
}
@@ -0,0 +1,15 @@
import { expect, test } from "bun:test"
import { mkdtemp, rm } from "node:fs/promises"
import path from "node:path"
import os from "node:os"
import { prepareChromeTrace } from "../chrome-trace"
test("creates the configured trace directory", async () => {
const root = await mkdtemp(path.join(os.tmpdir(), "opencode-trace-"))
try {
const file = await prepareChromeTrace(path.join(root, "nested", "traces"), "session/tab", false, "test")
expect(file).toEndWith("-session-tab-458ed9e3-test.json")
} finally {
await rm(root, { recursive: true, force: true })
}
})
@@ -0,0 +1,42 @@
import { expect, test } from "bun:test"
import { compressCachedRepaintTrace, layoutShiftSample } from "../timeline/session-tab-repaint-probe"
test("compresses repeated repaint states without losing frame samples", () => {
const state = {
root: 1,
scrollTop: 10,
scrollHeight: 20,
bottomErrorPx: 0,
last: true,
rows: [{ key: "row", node: 2, top: 0, bottom: 10 }],
mounted: 1,
center: "content",
}
const trace = {
timeOriginEpochMs: 1_000,
startedAtPerformanceMs: 100,
samples: [
{ observedAtMs: 16, ...state, destination: ["target"], source: [] },
{ observedAtMs: 32, ...state, destination: ["target"], source: [] },
{ observedAtMs: 48, ...state, scrollTop: 11, destination: ["target"], source: [] },
],
mutations: [{ observedAtMs: 20, changed: [{ type: "add", node: 2 }] }],
shifts: [{ occurredAtMs: 24, value: 0.1 }],
windowMs: 1_000,
running: false,
stop() {},
}
const compressed = compressCachedRepaintTrace(trace)
const samples = compressed.samples.flatMap((group) =>
group.observedAtMs.map((observedAtMs) => ({ observedAtMs, ...group.state })),
)
expect(samples).toEqual(trace.samples)
expect(compressed.mutations).toEqual(trace.mutations)
expect(compressed.shifts).toEqual(trace.shifts)
})
test("records layout shifts at occurrence time within the probe window", () => {
expect(layoutShiftSample({ startTime: 99, value: 0.1 }, 100)).toBeUndefined()
expect(layoutShiftSample({ startTime: 124, value: 0.2 }, 100)).toEqual({ occurredAtMs: 24, value: 0.2 })
})
@@ -0,0 +1,54 @@
import { expect, test } from "bun:test"
import { classifySessionSwitch } from "../timeline/session-tab-switch-metrics"
test("counts source and blank samples before the destination is observed", () => {
const result = classifySessionSwitch([
{ observedAtMs: 16, destination: [], source: ["source"], hasVisibleRows: true, last: false },
{ observedAtMs: 32, destination: [], source: [], hasVisibleRows: false, last: false },
{ observedAtMs: 48, destination: ["destination"], source: [], hasVisibleRows: true, last: true, bottomErrorPx: 0 },
{ observedAtMs: 64, destination: ["destination"], source: [], hasVisibleRows: true, last: true, bottomErrorPx: 0 },
{ observedAtMs: 80, destination: ["destination"], source: [], hasVisibleRows: true, last: true, bottomErrorPx: 0 },
])
expect(result.blankSamples).toBe(1)
expect(result.sourceSamples).toBe(1)
expect(result.unknownSamples).toBe(0)
expect(result.firstDestinationObservedMs).toBe(48)
expect(result.stableObservedMs).toBe(80)
})
test("does not classify mixed source and destination content as correct", () => {
const result = classifySessionSwitch([
{
observedAtMs: 16,
destination: ["destination"],
source: ["source"],
hasVisibleRows: true,
last: true,
bottomErrorPx: 0,
},
{ observedAtMs: 32, destination: ["destination"], source: [], hasVisibleRows: true, last: true, bottomErrorPx: 0 },
{ observedAtMs: 48, destination: ["destination"], source: [], hasVisibleRows: true, last: true, bottomErrorPx: 0 },
{ observedAtMs: 64, destination: ["destination"], source: [], hasVisibleRows: true, last: true, bottomErrorPx: 0 },
])
expect(result.firstCorrectObservedMs).toBe(32)
expect(result.stableObservedMs).toBe(64)
})
test("reports missing correctness without throwing", () => {
const result = classifySessionSwitch([
{
observedAtMs: 16,
destination: ["destination"],
source: ["source"],
hasVisibleRows: true,
last: true,
bottomErrorPx: 0,
},
])
expect(result.firstDestinationObservedMs).toBe(16)
expect(result.firstCorrectObservedMs).toBeNull()
expect(result.stableObservedMs).toBeNull()
})
@@ -0,0 +1,14 @@
import { expect, test } from "bun:test"
import { streamChunk } from "../timeline/session-timeline-benchmark.fixture"
import { streamProgress } from "../timeline/session-timeline-stream-probe"
test("classifies emitted stream markers using the fixture cycle", () => {
expect(streamProgress("before stream-17 after stream-18")).toEqual({ index: 18, phase: "boundary" })
expect(streamProgress("before stream-18 after stream-19")).toEqual({ index: 19, phase: "stream" })
expect(streamProgress("benchmark-complete stream-36")).toEqual({ index: 36, phase: "complete" })
expect(streamProgress("no marker")).toEqual({ index: -1, phase: "unknown" })
})
test("emits progress markers at fixture boundaries", () => {
expect(streamProgress(streamChunk(18, 160))).toEqual({ index: 18, phase: "boundary" })
})
@@ -0,0 +1,16 @@
import { expect, test } from "bun:test"
import { layoutShiftValue, removeVisibleRow } from "../timeline/session-timeline-stream-probe"
test("excludes layout shifts before the probe window and recent input", () => {
expect(layoutShiftValue({ startTime: 9, value: 0.1 }, 10)).toBeUndefined()
expect(layoutShiftValue({ startTime: 10, value: 0.2, hadRecentInput: true }, 10)).toBeUndefined()
expect(layoutShiftValue({ startTime: 11, value: 0.3 }, 10)).toBe(0.3)
})
test("classifies removed rows from their last painted visibility", () => {
const row = {}
const visible = new Set([row])
expect(removeVisibleRow(visible, row)).toBe(true)
expect(removeVisibleRow(visible, row)).toBe(false)
})
+6 -2
View File
@@ -44,7 +44,10 @@ export async function mockOpenCodeServer(page: Page, config: MockServerConfig) {
await page.route("**/*", async (route) => {
const url = new URL(route.request().url())
const targetPort = process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"
if (url.port !== targetPort) return route.fallback()
const appPort = new URL(
process.env.PLAYWRIGHT_BASE_URL ?? `http://127.0.0.1:${process.env.PLAYWRIGHT_PORT ?? "3000"}`,
).port
if (url.port !== targetPort && url.port !== appPort) return route.fallback()
const path = url.pathname
if (path === "/global/event" || path === "/event") return sse(route, config.events?.(), config.eventRetry)
@@ -72,7 +75,8 @@ export async function mockOpenCodeServer(page: Page, config: MockServerConfig) {
return json(route, pageData.items, pageData.cursor ? { "x-next-cursor": pageData.cursor } : undefined)
}
return json(route, {})
if (url.port === targetPort && targetPort !== appPort) return json(route, {})
return route.fallback()
})
}
+3 -2
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/app",
"version": "1.17.7",
"version": "1.17.8",
"description": "",
"type": "module",
"exports": {
@@ -24,7 +24,8 @@
"test:e2e": "playwright test",
"test:e2e:local": "playwright test",
"test:e2e:ui": "playwright test --ui",
"test:e2e:report": "playwright show-report e2e/playwright-report"
"test:e2e:report": "playwright show-report e2e/playwright-report",
"test:bench": "bun test ./e2e/performance/unit && playwright test --config e2e/performance/playwright.config.ts"
},
"license": "MIT",
"devDependencies": {
+1
View File
@@ -9,6 +9,7 @@ const reuse = !process.env.CI
const workers = Number(process.env.PLAYWRIGHT_WORKERS ?? (process.env.CI ? 5 : 0)) || undefined
export default defineConfig({
testDir: "./e2e",
testIgnore: process.env.OPENCODE_PERFORMANCE === "1" ? "performance/**/*.test.ts" : "performance/**",
outputDir: "./e2e/test-results",
timeout: 60_000,
expect: {
+47 -30
View File
@@ -7,12 +7,11 @@ import {
Match,
onMount,
Show,
startTransition,
Switch,
untrack,
} from "solid-js"
import { createStore } from "solid-js/store"
import { useLocation, useMatch, useNavigate, useParams } from "@solidjs/router"
import { useLocation, useNavigate, useParams } from "@solidjs/router"
import { IconButton } from "@opencode-ai/ui/icon-button"
import { Icon } from "@opencode-ai/ui/icon"
import { Button } from "@opencode-ai/ui/button"
@@ -20,6 +19,8 @@ import { Tooltip, TooltipKeybind } from "@opencode-ai/ui/tooltip"
import { useTheme } from "@opencode-ai/ui/theme/context"
import { IconButtonV2 } from "@opencode-ai/ui/v2/icon-button-v2"
import { Icon as IconV2 } from "@opencode-ai/ui/v2/icon"
import { KeybindV2 } from "@opencode-ai/ui/v2/keybind-v2"
import { TooltipV2 } from "@opencode-ai/ui/v2/tooltip-v2"
import { getProjectAvatarVariant, LayoutRoute, useLayout, type LocalProject } from "@/context/layout"
import { usePlatform } from "@/context/platform"
@@ -253,7 +254,6 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
{(_) => {
const serverSync = useServerSync()
const navigate = useNavigate()
const homeMatch = useMatch(() => "/")
const layout = useLayout()
const newSessionHref = () => {
@@ -268,17 +268,6 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
const tabs = useTabs()
const tabsStore = tabs.store
const tabsStoreActions = tabs
const navigateTab = (tab: Tab) => {
const href = tabHref(tab)
if (tab.server === server.key) {
navigate(href)
return
}
void startTransition(() => {
server.setActive(tab.server)
navigate(href)
})
}
const matchRoute = (route: LayoutRoute) => {
if (route.type === "home") return
@@ -309,7 +298,10 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
const route = layout.route()
if (!tabs.ready()) return
const tab = currentTab()
if (tab) return
if (tab) {
tabs.remember(tab)
return
}
if (route.type === "session") {
const sync = serverSync().createDirSyncContext(route.dir)
@@ -332,6 +324,18 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
})
const openNewTab = () => navigate(newSessionHref())
const toggleHome = () => tabs.toggleHome({ home: layout.route().type === "home", current: currentTab() })
command.register("titlebar-home", () => [
{
id: "home.toggle",
title: language.t("home.title"),
category: language.t("command.category.view"),
keybind: "mod+b",
hidden: true,
onSelect: toggleHome,
},
])
command.register("tabs", () => {
const current = currentTab()
@@ -369,7 +373,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
if (index === -1) index = tabsStore.length - 1
const next = tabsStore[index]
if (next) navigateTab(next)
if (next) tabs.select(next)
},
},
{
@@ -386,7 +390,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
if (index === tabsStore.length) index = 0
const next = tabsStore[index]
if (next) navigateTab(next)
if (next) tabs.select(next)
},
},
...Array.from({ length: 9 }, (_, i) => {
@@ -401,7 +405,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
hidden: true,
onSelect: () => {
const tab = tabsStore[index]
if (tab) navigateTab(tab)
if (tab) tabs.select(tab)
},
}
}),
@@ -427,15 +431,28 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
<Show when={windows() || linux()}>
<WindowsAppMenu command={command} platform={platform} variant="v2" />
</Show>
<IconButtonV2
variant="ghost-muted"
size="large"
as="a"
href="/"
class="!w-9 shrink-0"
icon={<IconV2 name="grid-plus" />}
state={!!homeMatch() ? "pressed" : undefined}
/>
<TooltipV2
placement="bottom"
value={
<>
{language.t("home.title")}
<KeybindV2 keys={command.keybindParts("home.toggle")} variant="neutral" />
</>
}
class="shrink-0"
>
<IconButtonV2
type="button"
variant="ghost-muted"
size="large"
class="!w-9 shrink-0"
icon={<IconV2 name="grid-plus" />}
state={layout.route().type === "home" ? "pressed" : undefined}
onClick={toggleHome}
aria-label={language.t("home.title")}
aria-pressed={layout.route().type === "home"}
/>
</TooltipV2>
<div data-slot="titlebar-tabs" class="relative min-w-0">
<div
@@ -469,7 +486,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
title={language.t("command.session.new")}
active={currentTab() === tab}
onNavigate={() => {
navigateTab(tab)
tabs.select(tab)
ref.scrollIntoView({ behavior: "instant" })
}}
onClose={() => tabsStoreActions.removeTab(i())}
@@ -488,7 +505,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
directory={decode64(tab.dirBase64)!}
sessionId={tab.sessionId}
onNavigate={() => {
navigateTab(tab)
tabs.select(tab)
ref.scrollIntoView({ behavior: "instant" })
}}
@@ -518,7 +535,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {
title={language.t("command.session.new")}
onClose={() => {
const tab = tabsStore.at(-1)
if (tab) navigateTab(tab)
if (tab) tabs.select(tab)
else navigate("/")
}}
/>
+57 -50
View File
@@ -170,13 +170,7 @@ export function matchKeybind(keybinds: Keybind[], event: KeyboardEvent): boolean
return false
}
export function formatKeybind(config: string, t?: (key: KeyLabel) => string): string {
if (!config || config === "none") return ""
const keybinds = parseKeybind(config)
if (keybinds.length === 0) return ""
const kb = keybinds[0]
function displayKeybindParts(kb: Keybind, t?: (key: KeyLabel) => string) {
const parts: string[] = []
if (kb.ctrl) parts.push(IS_MAC ? "⌃" : keyText("common.key.ctrl", t))
@@ -184,40 +178,52 @@ export function formatKeybind(config: string, t?: (key: KeyLabel) => string): st
if (kb.shift) parts.push(IS_MAC ? "⇧" : keyText("common.key.shift", t))
if (kb.meta) parts.push(IS_MAC ? "⌘" : keyText("common.key.meta", t))
if (kb.key) {
const keys: Record<string, string> = {
arrowup: "↑",
arrowdown: "↓",
arrowleft: "←",
arrowright: "→",
comma: ",",
plus: "+",
}
const named: Record<string, KeyLabel> = {
backspace: "common.key.backspace",
delete: "common.key.delete",
end: "common.key.end",
enter: "common.key.enter",
esc: "common.key.esc",
escape: "common.key.esc",
home: "common.key.home",
insert: "common.key.insert",
pagedown: "common.key.pageDown",
pageup: "common.key.pageUp",
space: "common.key.space",
tab: "common.key.tab",
}
const key = kb.key.toLowerCase()
const displayKey =
keys[key] ??
(named[key]
? keyText(named[key], t)
: key.length === 1
? key.toUpperCase()
: key.charAt(0).toUpperCase() + key.slice(1))
parts.push(displayKey)
}
if (!kb.key) return parts
const keys: Record<string, string> = {
arrowup: "↑",
arrowdown: "↓",
arrowleft: "←",
arrowright: "→",
comma: ",",
plus: "+",
}
const named: Record<string, KeyLabel> = {
backspace: "common.key.backspace",
delete: "common.key.delete",
end: "common.key.end",
enter: "common.key.enter",
esc: "common.key.esc",
escape: "common.key.esc",
home: "common.key.home",
insert: "common.key.insert",
pagedown: "common.key.pageDown",
pageup: "common.key.pageUp",
space: "common.key.space",
tab: "common.key.tab",
}
const key = kb.key.toLowerCase()
const displayKey =
keys[key] ??
(named[key]
? keyText(named[key], t)
: key.length === 1
? key.toUpperCase()
: key.charAt(0).toUpperCase() + key.slice(1))
parts.push(displayKey)
return parts
}
export function formatKeybindParts(config: string, t?: (key: KeyLabel) => string): string[] {
if (!config || config === "none") return []
const keybind = parseKeybind(config)[0]
return keybind ? displayKeybindParts(keybind, t) : []
}
export function formatKeybind(config: string, t?: (key: KeyLabel) => string): string {
const parts = formatKeybindParts(config, t)
if (parts.length === 0) return ""
return IS_MAC ? parts.join("") : parts.join("+")
}
@@ -402,25 +408,26 @@ export const { use: useCommand, provider: CommandProvider } = createSimpleContex
})
}
const keybindConfig = (id: string) => {
if (id === PALETTE_ID) return settings.keybinds.get(PALETTE_ID) ?? DEFAULT_PALETTE_KEYBIND
const base = actionId(id)
return options().find((x) => actionId(x.id) === base)?.keybind ?? bind(base, catalog[base]?.keybind)
}
return {
register,
trigger(id: string, source?: CommandSource) {
run(id, source)
},
keybind(id: string) {
if (id === PALETTE_ID) {
return formatKeybind(settings.keybinds.get(PALETTE_ID) ?? DEFAULT_PALETTE_KEYBIND, language.t)
}
const base = actionId(id)
const option = options().find((x) => actionId(x.id) === base)
if (option?.keybind) return formatKeybind(option.keybind, language.t)
const meta = catalog[base]
const config = bind(base, meta?.keybind)
const config = keybindConfig(id)
if (!config) return ""
return formatKeybind(config, language.t)
},
keybindParts(id: string) {
const config = keybindConfig(id)
return config ? formatKeybindParts(config, language.t) : []
},
show: showPalette,
keybinds(enabled: boolean) {
setStore("suspendCount", (count) => Math.max(0, count + (enabled ? -1 : 1)))
+62 -6
View File
@@ -27,6 +27,10 @@ export type DraftTab = {
export type Tab = SessionTab | DraftTab
type RecentTab = {
key?: string
}
export const draftHref = (draftID: string) => `/new-session?draftId=${encodeURIComponent(draftID)}`
export const tabHref = (tab: Tab) =>
@@ -62,26 +66,45 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
},
createStore<Tab[]>([]),
)
const [recent, setRecent, , recentReady] = persisted(Persist.global("tabs.recent"), createStore<RecentTab>({}))
const params = useParams()
const navigate = useNavigate()
const location = useLocation()
const closing = new Set<string>()
let recentWrite = 0
let recentValue: string | undefined
const recentKey = () => (recentWrite ? recentValue : recent.key)
const setRecentKey = (key: string | undefined) => {
const write = ++recentWrite
recentValue = key
if (recentReady()) {
setRecent("key", key)
return
}
void recentReady.promise?.then(() => {
if (write === recentWrite) setRecent("key", key)
})
}
const removeDraftPersisted = (draftID: string) => {
for (const key of draftPersistedKeys()) removePersisted(Persist.draft(draftID, key), platform)
}
createEffect(() => {
if (!ready()) return
if (!ready() || !recentReady()) return
const servers = new Set(server.list.map(ServerConnection.key))
if (store.every((tab) => servers.has(tab.server))) return
setStore((tabs) => tabs.filter((tab) => servers.has(tab.server)))
const next = store.filter((tab) => servers.has(tab.server))
if (next.length !== store.length) setStore(() => next)
if (recent.key && !next.some((tab) => tabKey(tab) === recent.key)) setRecentKey(undefined)
})
const navigateTab = (tab: Tab) => {
const href = tabHref(tab)
setRecentKey(tabKey(tab))
if (tab.server === server.key) {
navigate(href)
return
@@ -129,14 +152,16 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
// and fall back home. Navigate to the new session first so we leave /new-session
// before the draft is removed from the store.
const active = location.pathname === "/new-session" && location.query.draftId === draftID
const next = { type: "session" as const, ...session }
startTransition(() => {
setStore(
produce((tabs) => {
const index = tabs.findIndex((tab) => tab.type === "draft" && tab.draftID === draftID)
if (index !== -1) tabs[index] = { type: "session", ...session }
if (index !== -1) tabs[index] = next
}),
)
if (active) navigateTab({ type: "session", ...session })
if (recent.key === `draft:${draftID}`) setRecentKey(tabKey(next))
if (active) navigateTab(next)
})
removeDraftPersisted(draftID)
},
@@ -153,6 +178,7 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
tabs.splice(index, 1)
}),
)
if (recent.key === key) setRecentKey(nextTab && tabKey(nextTab))
if (nextTab) navigateTab(nextTab)
else navigate("/")
}).finally(() => closing.delete(key))
@@ -160,11 +186,22 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
},
removeServer(key: ServerConnection.Key) {
const drafts = store.flatMap((tab) => (tab.type === "draft" && tab.server === key ? [tab.draftID] : []))
const removed = store.filter((tab) => tab.server === key).map(tabKey)
setStore((tabs) => tabs.filter((tab) => tab.server !== key))
if (recent.key && removed.includes(recent.key)) setRecentKey(undefined)
for (const draftID of drafts) removeDraftPersisted(draftID)
if (server.key === key) navigate("/")
},
removeSessions: (input: SessionTabsRemovedDetail) => {
const removed = store
.filter(
(tab) =>
tab.type === "session" &&
tab.server === server.key &&
atob(tab.dirBase64) === input.directory &&
input.sessionIDs.includes(tab.sessionId),
)
.map(tabKey)
void startTransition(() => {
setStore(
produce((tabs) => {
@@ -207,10 +244,29 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
else navigate("/")
}),
)
if (recent.key && removed.includes(recent.key)) setRecentKey(undefined)
})
},
select: navigateTab,
remember(tab: Tab) {
const key = tabKey(tab)
if (recentKey() !== key) setRecentKey(key)
},
toggleHome(input: { home: boolean; current?: Tab }) {
if (input.home) {
const tab = store.find((tab) => tabKey(tab) === recentKey())
if (tab) navigateTab(tab)
return
}
if (input.current) {
setRecentKey(tabKey(input.current))
navigate("/")
return
}
navigate("/")
},
}
return { ...actions, store, ready }
return { ...actions, store, ready, recentReady }
},
})
+1 -1
View File
@@ -141,7 +141,7 @@ export const DESKTOP_MENU: DesktopMenu[] = [
id: "view",
label: "View",
items: [
{ type: "item", label: "Toggle Sidebar", command: "sidebar.toggle", accelerator: { macos: "Cmd+B" } },
{ type: "item", label: "Toggle Sidebar", command: "sidebar.toggle" },
{ type: "item", label: "Toggle Terminal", command: "terminal.toggle", accelerator: { macos: "Ctrl+`" } },
{ type: "item", label: "Toggle File Tree", command: "fileTree.toggle" },
{ type: "separator" },
+1 -1
View File
@@ -996,7 +996,7 @@ export default function Layout(props: ParentProps) {
id: "sidebar.toggle",
title: language.t("command.sidebar.toggle"),
category: language.t("command.category.view"),
keybind: "mod+b",
keybind: newDesign() ? undefined : "mod+b",
onSelect: () => layout.sidebar.toggle(),
},
{
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/cli",
"version": "1.17.7",
"version": "1.17.8",
"type": "module",
"license": "MIT",
"bin": {
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-app",
"version": "1.17.7",
"version": "1.17.8",
"type": "module",
"license": "MIT",
"scripts": {
+4 -4
View File
@@ -250,7 +250,7 @@ export const dict = {
"go.title": "OpenCode Go | نماذج برمجة منخفضة التكلفة للجميع",
"go.banner.text": "MiniMax M3: حد استخدام أكبر 3 مرات لفترة محدودة",
"go.meta.description":
"يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود طلب سخية لمدة 5 ساعات لـ GLM-5.1 وGLM-5 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash.",
"يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود طلب سخية لمدة 5 ساعات لـ GLM-5.2 وGLM-5.1 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash.",
"go.hero.title": "نماذج برمجة منخفضة التكلفة للجميع",
"go.hero.body":
"يجلب Go البرمجة الوكيلة للمبرمجين حول العالم. يوفر حدودًا سخية ووصولًا موثوقًا إلى أقوى النماذج مفتوحة المصدر، حتى تتمكن من البناء باستخدام وكلاء أقوياء دون القلق بشأن التكلفة أو التوفر.",
@@ -299,7 +299,7 @@ export const dict = {
"go.problem.item2": "حدود سخية ووصول موثوق",
"go.problem.item3": "مصمم لأكبر عدد ممكن من المبرمجين",
"go.problem.item4":
"يتضمن GLM-5.1 وGLM-5 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash",
"يتضمن GLM-5.2 وGLM-5.1 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash",
"go.how.title": "كيف يعمل Go",
"go.how.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر. يمكنك استخدامه مع OpenCode أو أي وكيل.",
"go.how.step1.title": "أنشئ حسابًا",
@@ -323,7 +323,7 @@ export const dict = {
"go.faq.a2": "يتضمن Go النماذج المدرجة أدناه، مع حدود سخية وإتاحة موثوقة.",
"go.faq.q3": "هل Go هو نفسه Zen؟",
"go.faq.a3":
"لا. Zen هو الدفع حسب الاستخدام، بينما يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود سخية ووصول موثوق إلى نماذج المصدر المفتوح GLM-5.1 وGLM-5 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash.",
"لا. Zen هو الدفع حسب الاستخدام، بينما يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود سخية ووصول موثوق إلى نماذج المصدر المفتوح GLM-5.2 وGLM-5.1 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash.",
"go.faq.q4": "كم تكلفة Go؟",
"go.faq.a4.p1.beforePricing": "تكلفة Go",
"go.faq.a4.p1.pricingLink": "$5 للشهر الأول",
@@ -346,7 +346,7 @@ export const dict = {
"go.faq.q9": "ما الفرق بين النماذج المجانية وGo؟",
"go.faq.a9":
"تشمل النماذج المجانية Big Pickle بالإضافة إلى النماذج الترويجية المتاحة في ذلك الوقت، مع حصة 200 طلب/يوم. يتضمن Go نماذج GLM-5.1 وGLM-5 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash مع حصص طلبات أعلى مطبقة عبر نوافذ متجددة (5 ساعات، أسبوعيًا، وشهريًا)، تعادل تقريبًا 12 دولارًا كل 5 ساعات، و30 دولارًا في الأسبوع، و60 دولارًا في الشهر (تختلف أعداد الطلبات الفعلية حسب النموذج والاستخدام).",
"تشمل النماذج المجانية Big Pickle بالإضافة إلى النماذج الترويجية المتاحة في ذلك الوقت، مع حصة 200 طلب/يوم. يتضمن Go نماذج GLM-5.2 وGLM-5.1 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash مع حصص طلبات أعلى مطبقة عبر نوافذ متجددة (5 ساعات، أسبوعيًا، وشهريًا)، تعادل تقريبًا 12 دولارًا كل 5 ساعات، و30 دولارًا في الأسبوع، و60 دولارًا في الشهر (تختلف أعداد الطلبات الفعلية حسب النموذج والاستخدام).",
"zen.api.error.rateLimitExceeded": "تم تجاوز حد الطلبات. يرجى المحاولة مرة أخرى لاحقًا.",
"zen.api.error.modelNotSupported": "النموذج {{model}} غير مدعوم",
+4 -4
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@@ -254,7 +254,7 @@ export const dict = {
"go.title": "OpenCode Go | Modelos de codificação de baixo custo para todos",
"go.banner.text": "MiniMax M3 tem limite de uso 3x maior por tempo limitado",
"go.meta.description":
"O Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos de solicitação de 5 horas para GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"O Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos de solicitação de 5 horas para GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"go.hero.title": "Modelos de codificação de baixo custo para todos",
"go.hero.body":
"O Go traz a codificação com agentes para programadores em todo o mundo. Oferecendo limites generosos e acesso confiável aos modelos de código aberto mais capazes, para que você possa construir com agentes poderosos sem se preocupar com custos ou disponibilidade.",
@@ -304,7 +304,7 @@ export const dict = {
"go.problem.item2": "Limites generosos e acesso confiável",
"go.problem.item3": "Feito para o maior número possível de programadores",
"go.problem.item4":
"Inclui GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash",
"Inclui GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash",
"go.how.title": "Como o Go funciona",
"go.how.body":
"O Go começa em $5 no primeiro mês, depois $10/mês. Você pode usá-lo com o OpenCode ou qualquer agente.",
@@ -330,7 +330,7 @@ export const dict = {
"go.faq.a2": "O Go inclui os modelos listados abaixo, com limites generosos e acesso confiável.",
"go.faq.q3": "O Go é o mesmo que o Zen?",
"go.faq.a3":
"Não. Zen é pay-as-you-go, enquanto o Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos e acesso confiável aos modelos open source GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"Não. Zen é pay-as-you-go, enquanto o Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos e acesso confiável aos modelos open source GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"go.faq.q4": "Quanto custa o Go?",
"go.faq.a4.p1.beforePricing": "O Go custa",
"go.faq.a4.p1.pricingLink": "$5 no primeiro mês",
@@ -354,7 +354,7 @@ export const dict = {
"go.faq.q9": "Qual a diferença entre os modelos gratuitos e o Go?",
"go.faq.a9":
"Os modelos gratuitos incluem Big Pickle e modelos promocionais disponíveis no momento, com uma cota de 200 requisições/dia. O Go inclui GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash com cotas de requisição mais altas aplicadas em janelas móveis (5 horas, semanal e mensal), aproximadamente equivalentes a $12 por 5 horas, $30 por semana e $60 por mês (as contagens reais de requisições variam de acordo com o modelo e o uso).",
"Os modelos gratuitos incluem Big Pickle e modelos promocionais disponíveis no momento, com uma cota de 200 requisições/dia. O Go inclui GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash com cotas de requisição mais altas aplicadas em janelas móveis (5 horas, semanal e mensal), aproximadamente equivalentes a $12 por 5 horas, $30 por semana e $60 por mês (as contagens reais de requisições variam de acordo com o modelo e o uso).",
"zen.api.error.rateLimitExceeded": "Limite de taxa excedido. Por favor, tente novamente mais tarde.",
"zen.api.error.modelNotSupported": "Modelo {{model}} não suportado",
+4 -4
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@@ -252,7 +252,7 @@ export const dict = {
"go.title": "OpenCode Go | Kodningsmodeller til lav pris for alle",
"go.banner.text": "MiniMax M3 får tredoblet brugsgrænse i en begrænset periode",
"go.meta.description":
"Go starter ved $5 for den første måned, derefter $10/måned, med generøse 5-timers anmodningsgrænser for GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"Go starter ved $5 for den første måned, derefter $10/måned, med generøse 5-timers anmodningsgrænser for GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"go.hero.title": "Kodningsmodeller til lav pris for alle",
"go.hero.body":
"Go bringer agentisk kodning til programmører over hele verden. Med generøse grænser og pålidelig adgang til de mest kapable open source-modeller, så du kan bygge med kraftfulde agenter uden at bekymre dig om omkostninger eller tilgængelighed.",
@@ -301,7 +301,7 @@ export const dict = {
"go.problem.item2": "Generøse grænser og pålidelig adgang",
"go.problem.item3": "Bygget til så mange programmører som muligt",
"go.problem.item4":
"Inkluderer GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash",
"Inkluderer GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash",
"go.how.title": "Hvordan Go virker",
"go.how.body":
"Go starter ved $5 for den første måned, derefter $10/måned. Du kan bruge det med OpenCode eller enhver agent.",
@@ -327,7 +327,7 @@ export const dict = {
"go.faq.a2": "Go inkluderer modellerne nedenfor med generøse grænser og pålidelig adgang.",
"go.faq.q3": "Er Go det samme som Zen?",
"go.faq.a3":
"Nej. Zen er pay-as-you-go, mens Go starter ved $5 for den første måned, derefter $10/måned, med generøse grænser og pålidelig adgang til open source-modellerne GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"Nej. Zen er pay-as-you-go, mens Go starter ved $5 for den første måned, derefter $10/måned, med generøse grænser og pålidelig adgang til open source-modellerne GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"go.faq.q4": "Hvad koster Go?",
"go.faq.a4.p1.beforePricing": "Go koster",
"go.faq.a4.p1.pricingLink": "$5 første måned",
@@ -350,7 +350,7 @@ export const dict = {
"go.faq.q9": "Hvad er forskellen på gratis modeller og Go?",
"go.faq.a9":
"Gratis modeller inkluderer Big Pickle plus salgsfremmende modeller tilgængelige på det tidspunkt, med en kvote på 200 forespørgsler/dag. Go inkluderer GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash med højere anmodningskvoter håndhævet over rullende vinduer (5-timers, ugentlig og månedlig), nogenlunde svarende til $12 pr. 5 timer, $30 pr. uge og $60 pr. måned (faktiske anmodningstal varierer efter model og brug).",
"Gratis modeller inkluderer Big Pickle plus salgsfremmende modeller tilgængelige på det tidspunkt, med en kvote på 200 forespørgsler/dag. Go inkluderer GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash med højere anmodningskvoter håndhævet over rullende vinduer (5-timers, ugentlig og månedlig), nogenlunde svarende til $12 pr. 5 timer, $30 pr. uge og $60 pr. måned (faktiske anmodningstal varierer efter model og brug).",
"zen.api.error.rateLimitExceeded": "Hastighedsgrænse overskredet. Prøv venligst igen senere.",
"zen.api.error.modelNotSupported": "Model {{model}} understøttes ikke",
+4 -4
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@@ -254,7 +254,7 @@ export const dict = {
"go.title": "OpenCode Go | Kostengünstige Coding-Modelle für alle",
"go.banner.text": "MiniMax M3 erhält für begrenzte Zeit 3x Nutzungslimits",
"go.meta.description":
"Go beginnt bei $5 für den ersten Monat, danach $10/Monat, mit großzügigen 5-Stunden-Anfragelimits für GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash.",
"Go beginnt bei $5 für den ersten Monat, danach $10/Monat, mit großzügigen 5-Stunden-Anfragelimits für GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash.",
"go.hero.title": "Kostengünstige Coding-Modelle für alle",
"go.hero.body":
"Go bringt Agentic Coding zu Programmierern auf der ganzen Welt. Mit großzügigen Limits und zuverlässigem Zugang zu den leistungsfähigsten Open-Source-Modellen, damit du mit leistungsstarken Agenten entwickeln kannst, ohne dir Gedanken über Kosten oder Verfügbarkeit zu machen.",
@@ -303,7 +303,7 @@ export const dict = {
"go.problem.item2": "Großzügige Limits und zuverlässiger Zugang",
"go.problem.item3": "Für so viele Programmierer wie möglich gebaut",
"go.problem.item4":
"Beinhaltet GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash",
"Beinhaltet GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash",
"go.how.title": "Wie Go funktioniert",
"go.how.body":
"Go beginnt bei $5 für den ersten Monat, danach $10/Monat. Du kannst es mit OpenCode oder jedem Agenten nutzen.",
@@ -329,7 +329,7 @@ export const dict = {
"go.faq.a2": "Go umfasst die unten aufgeführten Modelle mit großzügigen Limits und zuverlässigem Zugriff.",
"go.faq.q3": "Ist Go dasselbe wie Zen?",
"go.faq.a3":
"Nein. Zen ist Pay-as-you-go, während Go bei $5 für den ersten Monat beginnt, danach $10/Monat, mit großzügigen Limits und zuverlässigem Zugang zu den Open-Source-Modellen GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash.",
"Nein. Zen ist Pay-as-you-go, während Go bei $5 für den ersten Monat beginnt, danach $10/Monat, mit großzügigen Limits und zuverlässigem Zugang zu den Open-Source-Modellen GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash.",
"go.faq.q4": "Wie viel kostet Go?",
"go.faq.a4.p1.beforePricing": "Go kostet",
"go.faq.a4.p1.pricingLink": "$5 im ersten Monat",
@@ -353,7 +353,7 @@ export const dict = {
"go.faq.q9": "Was ist der Unterschied zwischen kostenlosen Modellen und Go?",
"go.faq.a9":
"Kostenlose Modelle beinhalten Big Pickle sowie Werbemodelle, die zum jeweiligen Zeitpunkt verfügbar sind, mit einem Kontingent von 200 Anfragen/Tag. Go beinhaltet GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash mit höheren Anfragekontingenten, die über rollierende Zeitfenster (5 Stunden, wöchentlich und monatlich) durchgesetzt werden, grob äquivalent zu $12 pro 5 Stunden, $30 pro Woche und $60 pro Monat (tatsächliche Anfragezahlen variieren je nach Modell und Nutzung).",
"Kostenlose Modelle beinhalten Big Pickle sowie Werbemodelle, die zum jeweiligen Zeitpunkt verfügbar sind, mit einem Kontingent von 200 Anfragen/Tag. Go beinhaltet GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash mit höheren Anfragekontingenten, die über rollierende Zeitfenster (5 Stunden, wöchentlich und monatlich) durchgesetzt werden, grob äquivalent zu $12 pro 5 Stunden, $30 pro Woche und $60 pro Monat (tatsächliche Anfragezahlen variieren je nach Modell und Nutzung).",
"zen.api.error.rateLimitExceeded": "Ratenlimit überschritten. Bitte versuche es später erneut.",
"zen.api.error.modelNotSupported": "Modell {{model}} wird nicht unterstützt",
+4 -4
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@@ -250,7 +250,7 @@ export const dict = {
"go.title": "OpenCode Go | Low cost coding models for everyone",
"go.banner.text": "MiniMax M3 gets 3× usage limits for a limited time",
"go.meta.description":
"Go starts at $5 for your first month, then $10/month, with generous 5-hour request limits for GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash.",
"Go starts at $5 for your first month, then $10/month, with generous 5-hour request limits for GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash.",
"go.hero.title": "Low cost coding models for everyone",
"go.hero.body":
"Go brings agentic coding to programmers around the world. Offering generous limits and reliable access to the most capable open-source models, so you can build with powerful agents without worrying about cost or availability.",
@@ -298,7 +298,7 @@ export const dict = {
"go.problem.item2": "Generous limits and reliable access",
"go.problem.item3": "Built for as many programmers as possible",
"go.problem.item4":
"Includes GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash",
"Includes GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash",
"go.how.title": "How Go works",
"go.how.body": "Go starts at $5 for your first month, then $10/month. You can use it with OpenCode or any agent.",
"go.how.step1.title": "Create an account",
@@ -323,7 +323,7 @@ export const dict = {
"go.faq.a2": "Go includes the models listed below, with generous limits and reliable access.",
"go.faq.q3": "Is Go the same as Zen?",
"go.faq.a3":
"No. Zen is pay-as-you-go, while Go starts at $5 for your first month, then $10/month, with generous limits and reliable access to open-source models GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash.",
"No. Zen is pay-as-you-go, while Go starts at $5 for your first month, then $10/month, with generous limits and reliable access to open-source models GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash.",
"go.faq.q4": "How much does Go cost?",
"go.faq.a4.p1.beforePricing": "Go costs",
"go.faq.a4.p1.pricingLink": "$5 first month",
@@ -347,7 +347,7 @@ export const dict = {
"go.faq.q9": "What is the difference between free models and Go?",
"go.faq.a9":
"Free models include Big Pickle plus promotional models available at the time, with a quota of 200 requests/day. Go includes GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash with higher request quotas enforced across rolling windows (5-hour, weekly, and monthly), roughly equivalent to $12 per 5 hours, $30 per week, and $60 per month (actual request counts vary by model and usage).",
"Free models include Big Pickle plus promotional models available at the time, with a quota of 200 requests/day. Go includes GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash with higher request quotas enforced across rolling windows (5-hour, weekly, and monthly), roughly equivalent to $12 per 5 hours, $30 per week, and $60 per month (actual request counts vary by model and usage).",
"zen.api.error.rateLimitExceeded": "Rate limit exceeded. Please try again later.",
"zen.api.error.modelNotSupported": "Model {{model}} is not supported",
+4 -4
View File
@@ -255,7 +255,7 @@ export const dict = {
"go.title": "OpenCode Go | Modelos de programación de bajo coste para todos",
"go.banner.text": "MiniMax M3 tiene límites de uso 3x mayores por tiempo limitado",
"go.meta.description":
"Go comienza en $5 el primer mes, luego 10 $/mes, con generosos límites de solicitudes de 5 horas para GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash.",
"Go comienza en $5 el primer mes, luego 10 $/mes, con generosos límites de solicitudes de 5 horas para GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash.",
"go.hero.title": "Modelos de programación de bajo coste para todos",
"go.hero.body":
"Go lleva la programación agéntica a programadores de todo el mundo. Ofrece límites generosos y acceso fiable a los modelos de código abierto más capaces, para que puedas crear con agentes potentes sin preocuparte por el coste o la disponibilidad.",
@@ -305,7 +305,7 @@ export const dict = {
"go.problem.item2": "Límites generosos y acceso fiable",
"go.problem.item3": "Creado para tantos programadores como sea posible",
"go.problem.item4":
"Incluye GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash",
"Incluye GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash",
"go.how.title": "Cómo funciona Go",
"go.how.body": "Go comienza en $5 el primer mes, luego 10 $/mes. Puedes usarlo con OpenCode o cualquier agente.",
"go.how.step1.title": "Crear una cuenta",
@@ -330,7 +330,7 @@ export const dict = {
"go.faq.a2": "Go incluye los modelos que se indican abajo, con límites generosos y acceso confiable.",
"go.faq.q3": "¿Es Go lo mismo que Zen?",
"go.faq.a3":
"No. Zen es pago por uso, mientras que Go comienza en $5 el primer mes, luego 10 $/mes, con límites generosos y acceso fiable a los modelos de código abierto GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash.",
"No. Zen es pago por uso, mientras que Go comienza en $5 el primer mes, luego 10 $/mes, con límites generosos y acceso fiable a los modelos de código abierto GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash.",
"go.faq.q4": "¿Cuánto cuesta Go?",
"go.faq.a4.p1.beforePricing": "Go cuesta",
"go.faq.a4.p1.pricingLink": "$5 el primer mes",
@@ -354,7 +354,7 @@ export const dict = {
"go.faq.q9": "¿Cuál es la diferencia entre los modelos gratuitos y Go?",
"go.faq.a9":
"Los modelos gratuitos incluyen Big Pickle más modelos promocionales disponibles en el momento, con una cuota de 200 solicitudes/día. Go incluye GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash con cuotas de solicitud más altas aplicadas a través de ventanas móviles (5 horas, semanal y mensual), aproximadamente equivalente a 12 $ por 5 horas, 30 $ por semana y 60 $ por mes (los recuentos reales de solicitudes varían según el modelo y el uso).",
"Los modelos gratuitos incluyen Big Pickle más modelos promocionales disponibles en el momento, con una cuota de 200 solicitudes/día. Go incluye GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash con cuotas de solicitud más altas aplicadas a través de ventanas móviles (5 horas, semanal y mensual), aproximadamente equivalente a 12 $ por 5 horas, 30 $ por semana y 60 $ por mes (los recuentos reales de solicitudes varían según el modelo y el uso).",
"zen.api.error.rateLimitExceeded": "Límite de tasa excedido. Por favor, inténtalo de nuevo más tarde.",
"zen.api.error.modelNotSupported": "Modelo {{model}} no soportado",
+4 -4
View File
@@ -256,7 +256,7 @@ export const dict = {
"go.title": "OpenCode Go | Modèles de code à faible coût pour tous",
"go.banner.text": "MiniMax M3 bénéficie de limites dutilisation 3x supérieures pour une durée limitée",
"go.meta.description":
"Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites de requêtes généreuses sur 5 heures pour GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash.",
"Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites de requêtes généreuses sur 5 heures pour GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash.",
"go.hero.title": "Modèles de code à faible coût pour tous",
"go.hero.body":
"Go apporte le codage agentique aux programmeurs du monde entier. Offrant des limites généreuses et un accès fiable aux modèles open source les plus capables, pour que vous puissiez construire avec des agents puissants sans vous soucier du coût ou de la disponibilité.",
@@ -305,7 +305,7 @@ export const dict = {
"go.problem.item2": "Limites généreuses et accès fiable",
"go.problem.item3": "Conçu pour autant de programmeurs que possible",
"go.problem.item4":
"Inclut GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash",
"Inclut GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash",
"go.how.title": "Comment fonctionne Go",
"go.how.body":
"Go commence à $5 pour le premier mois, puis 10 $/mois. Vous pouvez l'utiliser avec OpenCode ou n'importe quel agent.",
@@ -331,7 +331,7 @@ export const dict = {
"go.faq.a2": "Go inclut les modèles ci-dessous, avec des limites généreuses et un accès fiable.",
"go.faq.q3": "Est-ce que Go est la même chose que Zen ?",
"go.faq.a3":
"Non. Zen est un paiement à l'utilisation, tandis que Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites généreuses et un accès fiable aux modèles open source GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash.",
"Non. Zen est un paiement à l'utilisation, tandis que Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites généreuses et un accès fiable aux modèles open source GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash.",
"go.faq.q4": "Combien coûte Go ?",
"go.faq.a4.p1.beforePricing": "Go coûte",
"go.faq.a4.p1.pricingLink": "$5 le premier mois",
@@ -354,7 +354,7 @@ export const dict = {
"Oui, vous pouvez utiliser Go avec n'importe quel agent. Suivez les instructions de configuration dans votre agent de code préféré.",
"go.faq.q9": "Quelle est la différence entre les modèles gratuits et Go ?",
"go.faq.a9":
"Les modèles gratuits incluent Big Pickle ainsi que des modèles promotionnels disponibles à ce moment-là, avec un quota de 200 requêtes/jour. Go inclut GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash avec des quotas de requêtes plus élevés appliqués sur des fenêtres glissantes (5 heures, hebdomadaire et mensuelle), à peu près équivalent à 12 $ par 5 heures, 30 $ par semaine et 60 $ par mois (le nombre réel de requêtes varie selon le modèle et l'utilisation).",
"Les modèles gratuits incluent Big Pickle ainsi que des modèles promotionnels disponibles à ce moment-là, avec un quota de 200 requêtes/jour. Go inclut GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash avec des quotas de requêtes plus élevés appliqués sur des fenêtres glissantes (5 heures, hebdomadaire et mensuelle), à peu près équivalent à 12 $ par 5 heures, 30 $ par semaine et 60 $ par mois (le nombre réel de requêtes varie selon le modèle et l'utilisation).",
"zen.api.error.rateLimitExceeded": "Limite de débit dépassée. Veuillez réessayer plus tard.",
"zen.api.error.modelNotSupported": "Modèle {{model}} non pris en charge",
+4 -4
View File
@@ -252,7 +252,7 @@ export const dict = {
"go.title": "OpenCode Go | Modelli di coding a basso costo per tutti",
"go.banner.text": "MiniMax M3 offre limiti di utilizzo 3x superiori per un periodo limitato",
"go.meta.description":
"Go inizia a $5 per il primo mese, poi $10/mese, con generosi limiti di richiesta di 5 ore per GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"Go inizia a $5 per il primo mese, poi $10/mese, con generosi limiti di richiesta di 5 ore per GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"go.hero.title": "Modelli di coding a basso costo per tutti",
"go.hero.body":
"Go porta il coding agentico ai programmatori di tutto il mondo. Offrendo limiti generosi e un accesso affidabile ai modelli open source più capaci, in modo da poter costruire con agenti potenti senza preoccuparsi dei costi o della disponibilità.",
@@ -301,7 +301,7 @@ export const dict = {
"go.problem.item2": "Limiti generosi e accesso affidabile",
"go.problem.item3": "Costruito per il maggior numero possibile di programmatori",
"go.problem.item4":
"Include GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash",
"Include GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash",
"go.how.title": "Come funziona Go",
"go.how.body": "Go inizia a $5 per il primo mese, poi $10/mese. Puoi usarlo con OpenCode o qualsiasi agente.",
"go.how.step1.title": "Crea un account",
@@ -326,7 +326,7 @@ export const dict = {
"go.faq.a2": "Go include i modelli elencati di seguito, con limiti generosi e accesso affidabile.",
"go.faq.q3": "Go è lo stesso di Zen?",
"go.faq.a3":
"No. Zen è a consumo, mentre Go inizia a $5 per il primo mese, poi $10/mese, con limiti generosi e accesso affidabile ai modelli open source GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"No. Zen è a consumo, mentre Go inizia a $5 per il primo mese, poi $10/mese, con limiti generosi e accesso affidabile ai modelli open source GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
"go.faq.q4": "Quanto costa Go?",
"go.faq.a4.p1.beforePricing": "Go costa",
"go.faq.a4.p1.pricingLink": "$5 il primo mese",
@@ -350,7 +350,7 @@ export const dict = {
"go.faq.q9": "Qual è la differenza tra i modelli gratuiti e Go?",
"go.faq.a9":
"I modelli gratuiti includono Big Pickle più modelli promozionali disponibili al momento, con una quota di 200 richieste/giorno. Go include GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash con quote di richiesta più elevate applicate su finestre mobili (5 ore, settimanale e mensile), approssimativamente equivalenti a $12 ogni 5 ore, $30 a settimana e $60 al mese (il conteggio effettivo delle richieste varia in base al modello e all'utilizzo).",
"I modelli gratuiti includono Big Pickle più modelli promozionali disponibili al momento, con una quota di 200 richieste/giorno. Go include GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash con quote di richiesta più elevate applicate su finestre mobili (5 ore, settimanale e mensile), approssimativamente equivalenti a $12 ogni 5 ore, $30 a settimana e $60 al mese (il conteggio effettivo delle richieste varia in base al modello e all'utilizzo).",
"zen.api.error.rateLimitExceeded": "Limite di richieste superato. Riprova più tardi.",
"zen.api.error.modelNotSupported": "Modello {{model}} non supportato",
+4 -4
View File
@@ -251,7 +251,7 @@ export const dict = {
"go.title": "OpenCode Go | すべての人のための低価格なコーディングモデル",
"go.banner.text": "MiniMax M3の利用上限が期間限定で3倍に",
"go.meta.description":
"Goは最初の月$5、その後$10/月で、GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashに対して5時間のゆとりあるリクエスト上限があります。",
"Goは最初の月$5、その後$10/月で、GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashに対して5時間のゆとりあるリクエスト上限があります。",
"go.hero.title": "すべての人のための低価格なコーディングモデル",
"go.hero.body":
"Goは、世界中のプログラマーにエージェント型コーディングをもたらします。最も高性能なオープンソースモデルへの十分な制限と安定したアクセスを提供し、コストや可用性を気にすることなく強力なエージェントで構築できます。",
@@ -301,7 +301,7 @@ export const dict = {
"go.problem.item2": "十分な制限と安定したアクセス",
"go.problem.item3": "できるだけ多くのプログラマーのために構築",
"go.problem.item4":
"GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashを含む",
"GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashを含む",
"go.how.title": "Goの仕組み",
"go.how.body": "Goは最初の月$5、その後$10/月で始まります。OpenCodeまたは任意のエージェントで使えます。",
"go.how.step1.title": "アカウントを作成",
@@ -326,7 +326,7 @@ export const dict = {
"go.faq.a2": "Go には、十分な利用上限と安定したアクセスを備えた、以下のモデルが含まれます。",
"go.faq.q3": "GoはZenと同じですか?",
"go.faq.a3":
"いいえ。Zenは従量課金制ですが、Goは最初の月$5、その後$10/月で始まり、GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashのオープンソースモデルに対して、ゆとりある上限と信頼できるアクセスを提供します。",
"いいえ。Zenは従量課金制ですが、Goは最初の月$5、その後$10/月で始まり、GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashのオープンソースモデルに対して、ゆとりある上限と信頼できるアクセスを提供します。",
"go.faq.q4": "Goの料金は?",
"go.faq.a4.p1.beforePricing": "Goは",
"go.faq.a4.p1.pricingLink": "最初の月$5",
@@ -350,7 +350,7 @@ export const dict = {
"go.faq.q9": "無料モデルとGoの違いは何ですか?",
"go.faq.a9":
"無料モデルにはBig Pickleと、その時点で利用可能なプロモーションモデルが含まれ、1日200リクエストの制限があります。GoにはGLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashが含まれ、ローリングウィンドウ(5時間、週間、月間)全体でより高いリクエスト制限が適用されます。これは概算で5時間あたり$12、週間$30、月間$60相当です(実際のリクエスト数はモデルと使用状況により異なります)。",
"無料モデルにはBig Pickleと、その時点で利用可能なプロモーションモデルが含まれ、1日200リクエストの制限があります。GoにはGLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashが含まれ、ローリングウィンドウ(5時間、週間、月間)全体でより高いリクエスト制限が適用されます。これは概算で5時間あたり$12、週間$30、月間$60相当です(実際のリクエスト数はモデルと使用状況により異なります)。",
"zen.api.error.rateLimitExceeded": "レート制限を超えました。後でもう一度お試しください。",
"zen.api.error.modelNotSupported": "モデル {{model}} はサポートされていません",
+4 -4
View File
@@ -248,7 +248,7 @@ export const dict = {
"go.title": "OpenCode Go | 모두를 위한 저비용 코딩 모델",
"go.banner.text": "MiniMax M3 사용 한도가 한시적으로 3배 확대됩니다",
"go.meta.description":
"Go는 첫 달 $5, 이후 $10/월로 시작하며, GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash에 대해 넉넉한 5시간 요청 한도를 제공합니다.",
"Go는 첫 달 $5, 이후 $10/월로 시작하며, GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash에 대해 넉넉한 5시간 요청 한도를 제공합니다.",
"go.hero.title": "모두를 위한 저비용 코딩 모델",
"go.hero.body":
"Go는 전 세계 프로그래머들에게 에이전트 코딩을 제공합니다. 가장 유능한 오픈 소스 모델에 대한 넉넉한 한도와 안정적인 액세스를 제공하므로, 비용이나 가용성 걱정 없이 강력한 에이전트로 빌드할 수 있습니다.",
@@ -298,7 +298,7 @@ export const dict = {
"go.problem.item2": "넉넉한 한도와 안정적인 액세스",
"go.problem.item3": "가능한 한 많은 프로그래머를 위해 제작됨",
"go.problem.item4":
"GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash 포함",
"GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash 포함",
"go.how.title": "Go 작동 방식",
"go.how.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다. OpenCode 또는 어떤 에이전트와도 함께 사용할 수 있습니다.",
"go.how.step1.title": "계정 생성",
@@ -322,7 +322,7 @@ export const dict = {
"go.faq.a2": "Go에는 넉넉한 한도와 안정적인 액세스를 제공하는 아래 모델이 포함됩니다.",
"go.faq.q3": "Go는 Zen과 같은가요?",
"go.faq.a3":
"아니요. Zen은 종량제인 반면, Go는 첫 달 $5, 이후 $10/월로 시작하며, GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash 오픈 소스 모델에 대한 넉넉한 한도와 안정적인 액세스를 제공합니다.",
"아니요. Zen은 종량제인 반면, Go는 첫 달 $5, 이후 $10/월로 시작하며, GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash 오픈 소스 모델에 대한 넉넉한 한도와 안정적인 액세스를 제공합니다.",
"go.faq.q4": "Go 비용은 얼마인가요?",
"go.faq.a4.p1.beforePricing": "Go 비용은",
"go.faq.a4.p1.pricingLink": "첫 달 $5",
@@ -345,7 +345,7 @@ export const dict = {
"go.faq.q9": "무료 모델과 Go의 차이점은 무엇인가요?",
"go.faq.a9":
"무료 모델에는 Big Pickle과 당시 사용 가능한 프로모션 모델이 포함되며, 하루 200회 요청 할당량이 적용됩니다. Go는 GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash를 포함하며, 롤링 윈도우(5시간, 주간, 월간)에 걸쳐 더 높은 요청 할당량을 적용합니다. 이는 대략 5시간당 $12, 주당 $30, 월 $60에 해당합니다(실제 요청 수는 모델 및 사용량에 따라 다름).",
"무료 모델에는 Big Pickle과 당시 사용 가능한 프로모션 모델이 포함되며, 하루 200회 요청 할당량이 적용됩니다. Go는 GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash를 포함하며, 롤링 윈도우(5시간, 주간, 월간)에 걸쳐 더 높은 요청 할당량을 적용합니다. 이는 대략 5시간당 $12, 주당 $30, 월 $60에 해당합니다(실제 요청 수는 모델 및 사용량에 따라 다름).",
"zen.api.error.rateLimitExceeded": "속도 제한을 초과했습니다. 나중에 다시 시도해 주세요.",
"zen.api.error.modelNotSupported": "{{model}} 모델은 지원되지 않습니다",
+4 -4
View File
@@ -252,7 +252,7 @@ export const dict = {
"go.title": "OpenCode Go | Rimelige kodemodeller for alle",
"go.banner.text": "MiniMax M3 får 3x bruksgrense i en begrenset periode",
"go.meta.description":
"Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse 5-timers forespørselsgrenser for GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse 5-timers forespørselsgrenser for GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"go.hero.title": "Rimelige kodemodeller for alle",
"go.hero.body":
"Go bringer agent-koding til programmerere over hele verden. Med rause grenser og pålitelig tilgang til de mest kapable åpen kildekode-modellene, kan du bygge med kraftige agenter uten å bekymre deg for kostnader eller tilgjengelighet.",
@@ -301,7 +301,7 @@ export const dict = {
"go.problem.item2": "Rause grenser og pålitelig tilgang",
"go.problem.item3": "Bygget for så mange programmerere som mulig",
"go.problem.item4":
"Inkluderer GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash",
"Inkluderer GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash",
"go.how.title": "Hvordan Go fungerer",
"go.how.body":
"Go starter på $5 for den første måneden, deretter $10/måned. Du kan bruke det med OpenCode eller hvilken som helst agent.",
@@ -327,7 +327,7 @@ export const dict = {
"go.faq.a2": "Go inkluderer modellene nedenfor, med høye grenser og pålitelig tilgang.",
"go.faq.q3": "Er Go det samme som Zen?",
"go.faq.a3":
"Nei. Zen er betaling etter bruk, mens Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse grenser og pålitelig tilgang til åpen kildekode-modellene GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"Nei. Zen er betaling etter bruk, mens Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse grenser og pålitelig tilgang til åpen kildekode-modellene GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
"go.faq.q4": "Hva koster Go?",
"go.faq.a4.p1.beforePricing": "Go koster",
"go.faq.a4.p1.pricingLink": "$5 første måned",
@@ -351,7 +351,7 @@ export const dict = {
"go.faq.q9": "Hva er forskjellen mellom gratis modeller og Go?",
"go.faq.a9":
"Gratis modeller inkluderer Big Pickle pluss kampanjemodeller tilgjengelig på det tidspunktet, med en kvote på 200 forespørsler/dag. Go inkluderer GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash med høyere kvoter håndhevet over rullerende vinduer (5 timer, ukentlig og månedlig), omtrent tilsvarende $12 per 5 timer, $30 per uke og $60 per måned (faktiske forespørselsantall varierer etter modell og bruk).",
"Gratis modeller inkluderer Big Pickle pluss kampanjemodeller tilgjengelig på det tidspunktet, med en kvote på 200 forespørsler/dag. Go inkluderer GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash med høyere kvoter håndhevet over rullerende vinduer (5 timer, ukentlig og månedlig), omtrent tilsvarende $12 per 5 timer, $30 per uke og $60 per måned (faktiske forespørselsantall varierer etter modell og bruk).",
"zen.api.error.rateLimitExceeded": "Rate limit overskredet. Vennligst prøv igjen senere.",
"zen.api.error.modelNotSupported": "Modell {{model}} støttes ikke",
+4 -4
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@@ -253,7 +253,7 @@ export const dict = {
"go.title": "OpenCode Go | Niskokosztowe modele do kodowania dla każdego",
"go.banner.text": "MiniMax M3 oferuje 3x wyższe limity użycia przez ograniczony czas",
"go.meta.description":
"Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi 5-godzinnymi limitami zapytań dla GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash.",
"Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi 5-godzinnymi limitami zapytań dla GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash.",
"go.hero.title": "Niskokosztowe modele do kodowania dla każdego",
"go.hero.body":
"Go udostępnia programowanie z agentami programistom na całym świecie. Oferuje hojne limity i niezawodny dostęp do najzdolniejszych modeli open source, dzięki czemu możesz budować za pomocą potężnych agentów, nie martwiąc się o koszty czy dostępność.",
@@ -302,7 +302,7 @@ export const dict = {
"go.problem.item2": "Hojne limity i niezawodny dostęp",
"go.problem.item3": "Stworzony dla jak największej liczby programistów",
"go.problem.item4":
"Zawiera GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash",
"Zawiera GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash",
"go.how.title": "Jak działa Go",
"go.how.body":
"Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc. Możesz go używać z OpenCode lub dowolnym agentem.",
@@ -328,7 +328,7 @@ export const dict = {
"go.faq.a2": "Go obejmuje poniższe modele z wysokimi limitami i niezawodnym dostępem.",
"go.faq.q3": "Czy Go to to samo co Zen?",
"go.faq.a3":
"Nie. Zen to model płatności za użycie, podczas gdy Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi limitami i niezawodnym dostępem do modeli open source GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash.",
"Nie. Zen to model płatności za użycie, podczas gdy Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi limitami i niezawodnym dostępem do modeli open source GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash.",
"go.faq.q4": "Ile kosztuje Go?",
"go.faq.a4.p1.beforePricing": "Go kosztuje",
"go.faq.a4.p1.pricingLink": "$5 za pierwszy miesiąc",
@@ -352,7 +352,7 @@ export const dict = {
"go.faq.q9": "Jaka jest różnica między darmowymi modelami a Go?",
"go.faq.a9":
"Darmowe modele obejmują Big Pickle oraz modele promocyjne dostępne w danym momencie, z limitem 200 zapytań/dzień. Go zawiera GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash z wyższymi limitami zapytań egzekwowanymi w oknach kroczących (5-godzinnych, tygodniowych i miesięcznych), w przybliżeniu równoważnymi $12 na 5 godzin, $30 tygodniowo i $60 miesięcznie (rzeczywista liczba zapytań zależy od modelu i użycia).",
"Darmowe modele obejmują Big Pickle oraz modele promocyjne dostępne w danym momencie, z limitem 200 zapytań/dzień. Go zawiera GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash z wyższymi limitami zapytań egzekwowanymi w oknach kroczących (5-godzinnych, tygodniowych i miesięcznych), w przybliżeniu równoważnymi $12 na 5 godzin, $30 tygodniowo i $60 miesięcznie (rzeczywista liczba zapytań zależy od modelu i użycia).",
"zen.api.error.rateLimitExceeded": "Przekroczono limit zapytań. Spróbuj ponownie później.",
"zen.api.error.modelNotSupported": "Model {{model}} nie jest obsługiwany",
+4 -4
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@@ -256,7 +256,7 @@ export const dict = {
"go.title": "OpenCode Go | Недорогие модели для кодинга для всех",
"go.banner.text": "MiniMax M3 получает 3x лимиты использования на ограниченное время",
"go.meta.description":
"Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами запросов за 5 часов для GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash.",
"Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами запросов за 5 часов для GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash.",
"go.hero.title": "Недорогие модели для кодинга для всех",
"go.hero.body":
"Go открывает доступ к агентам-программистам разработчикам по всему миру. Предлагая щедрые лимиты и надежный доступ к наиболее способным моделям с открытым исходным кодом, вы можете создавать проекты с мощными агентами, не беспокоясь о затратах или доступности.",
@@ -306,7 +306,7 @@ export const dict = {
"go.problem.item2": "Щедрые лимиты и надежный доступ",
"go.problem.item3": "Создан для максимального числа программистов",
"go.problem.item4":
"Включает GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash",
"Включает GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash",
"go.how.title": "Как работает Go",
"go.how.body":
"Go начинается с $5 за первый месяц, затем $10/месяц. Вы можете использовать его с OpenCode или любым агентом.",
@@ -332,7 +332,7 @@ export const dict = {
"go.faq.a2": "Go включает перечисленные ниже модели с щедрыми лимитами и надежным доступом.",
"go.faq.q3": "Go — это то же самое, что и Zen?",
"go.faq.a3":
"Нет. Zen - это оплата по мере использования, в то время как Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами и надежным доступом к моделям с открытым исходным кодом GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash.",
"Нет. Zen - это оплата по мере использования, в то время как Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами и надежным доступом к моделям с открытым исходным кодом GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash.",
"go.faq.q4": "Сколько стоит Go?",
"go.faq.a4.p1.beforePricing": "Go стоит",
"go.faq.a4.p1.pricingLink": "$5 за первый месяц",
@@ -356,7 +356,7 @@ export const dict = {
"go.faq.q9": "В чем разница между бесплатными моделями и Go?",
"go.faq.a9":
"Бесплатные модели включают Big Pickle плюс промо-модели, доступные на данный момент, с квотой 200 запросов/день. Go включает GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash с более высокими квотами запросов, применяемыми в скользящих окнах (5 часов, неделя и месяц), что примерно эквивалентно $12 за 5 часов, $30 в неделю и $60 в месяц (фактическое количество запросов зависит от модели и использования).",
"Бесплатные модели включают Big Pickle плюс промо-модели, доступные на данный момент, с квотой 200 запросов/день. Go включает GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash с более высокими квотами запросов, применяемыми в скользящих окнах (5 часов, неделя и месяц), что примерно эквивалентно $12 за 5 часов, $30 в неделю и $60 в месяц (фактическое количество запросов зависит от модели и использования).",
"zen.api.error.rateLimitExceeded": "Превышен лимит запросов. Пожалуйста, попробуйте позже.",
"zen.api.error.modelNotSupported": "Модель {{model}} не поддерживается",
+4 -4
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@@ -251,7 +251,7 @@ export const dict = {
"go.title": "OpenCode Go | โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
"go.banner.text": "MiniMax M3 เพิ่มโควตาการใช้งานเป็น 3 เท่าในช่วงเวลาจำกัด",
"go.meta.description":
"Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดคำขอ 5 ชั่วโมงที่เอื้อเฟื้อสำหรับ GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash",
"Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดคำขอ 5 ชั่วโมงที่เอื้อเฟื้อสำหรับ GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash",
"go.hero.title": "โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
"go.hero.body":
"Go นำการเขียนโค้ดแบบเอเจนต์มาสู่นักเขียนโปรแกรมทั่วโลก เสนอขีดจำกัดที่กว้างขวางและการเข้าถึงโมเดลโอเพนซอร์สที่มีความสามารถสูงสุดได้อย่างน่าเชื่อถือ เพื่อให้คุณสามารถสร้างสรรค์ด้วยเอเจนต์ที่ทรงพลังโดยไม่ต้องกังวลเรื่องค่าใช้จ่ายหรือความพร้อมใช้งาน",
@@ -299,7 +299,7 @@ export const dict = {
"go.problem.item2": "ขีดจำกัดที่กว้างขวางและการเข้าถึงที่เชื่อถือได้",
"go.problem.item3": "สร้างขึ้นเพื่อโปรแกรมเมอร์จำนวนมากที่สุดเท่าที่จะเป็นไปได้",
"go.problem.item4":
"รวมถึง GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash",
"รวมถึง GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash",
"go.how.title": "Go ทำงานอย่างไร",
"go.how.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน คุณสามารถใช้กับ OpenCode หรือเอเจนต์ใดก็ได้",
"go.how.step1.title": "สร้างบัญชี",
@@ -324,7 +324,7 @@ export const dict = {
"go.faq.a2": "Go รวมโมเดลด้านล่างนี้ พร้อมขีดจำกัดที่มากและการเข้าถึงที่เชื่อถือได้",
"go.faq.q3": "Go เหมือนกับ Zen หรือไม่?",
"go.faq.a3":
"ไม่ Zen เป็นแบบจ่ายตามการใช้งาน ในขณะที่ Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดที่เอื้อเฟื้อและการเข้าถึงโมเดลโอเพนซอร์ส GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash อย่างเชื่อถือได้",
"ไม่ Zen เป็นแบบจ่ายตามการใช้งาน ในขณะที่ Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดที่เอื้อเฟื้อและการเข้าถึงโมเดลโอเพนซอร์ส GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash อย่างเชื่อถือได้",
"go.faq.q4": "Go ราคาเท่าไหร่?",
"go.faq.a4.p1.beforePricing": "Go ราคา",
"go.faq.a4.p1.pricingLink": "$5 เดือนแรก",
@@ -347,7 +347,7 @@ export const dict = {
"go.faq.q9": "ความแตกต่างระหว่างโมเดลฟรีและ Go คืออะไร?",
"go.faq.a9":
"โมเดลฟรีรวมถึง Big Pickle บวกกับโมเดลโปรโมชั่นที่มีให้ในขณะนั้น ด้วยโควต้า 200 คำขอ/วัน Go รวมถึง GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash ที่มีโควต้าคำขอสูงกว่า ซึ่งบังคับใช้ผ่านช่วงเวลาหมุนเวียน (5 ชั่วโมง, รายสัปดาห์ และรายเดือน) เทียบเท่าประมาณ $12 ต่อ 5 ชั่วโมง, $30 ต่อสัปดาห์ และ $60 ต่อเดือน (จำนวนคำขอจริงจะแตกต่างกันไปตามโมเดลและการใช้งาน)",
"โมเดลฟรีรวมถึง Big Pickle บวกกับโมเดลโปรโมชั่นที่มีให้ในขณะนั้น ด้วยโควต้า 200 คำขอ/วัน Go รวมถึง GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash ที่มีโควต้าคำขอสูงกว่า ซึ่งบังคับใช้ผ่านช่วงเวลาหมุนเวียน (5 ชั่วโมง, รายสัปดาห์ และรายเดือน) เทียบเท่าประมาณ $12 ต่อ 5 ชั่วโมง, $30 ต่อสัปดาห์ และ $60 ต่อเดือน (จำนวนคำขอจริงจะแตกต่างกันไปตามโมเดลและการใช้งาน)",
"zen.api.error.rateLimitExceeded": "เกินขีดจำกัดอัตราการใช้งาน กรุณาลองใหม่ในภายหลัง",
"zen.api.error.modelNotSupported": "ไม่รองรับโมเดล {{model}}",
+4 -4
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@@ -254,7 +254,7 @@ export const dict = {
"go.title": "OpenCode Go | Herkes için düşük maliyetli kodlama modelleri",
"go.banner.text": "MiniMax M3 sınırlı bir süre için 3x kullanım limiti sunuyor",
"go.meta.description":
"Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash için cömert 5 saatlik istek limitleri sunar.",
"Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash için cömert 5 saatlik istek limitleri sunar.",
"go.hero.title": "Herkes için düşük maliyetli kodlama modelleri",
"go.hero.body":
"Go, dünya çapındaki programcılara ajan tabanlı kodlama getiriyor. En yetenekli açık kaynaklı modellere cömert limitler ve güvenilir erişim sunarak, maliyet veya erişilebilirlik konusunda endişelenmeden güçlü ajanlarla geliştirme yapmanızı sağlar.",
@@ -304,7 +304,7 @@ export const dict = {
"go.problem.item2": "Cömert limitler ve güvenilir erişim",
"go.problem.item3": "Mümkün olduğunca çok programcı için geliştirildi",
"go.problem.item4":
"GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash içerir",
"GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash içerir",
"go.how.title": "Go nasıl çalışır?",
"go.how.body":
"Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar. OpenCode veya herhangi bir ajanla kullanabilirsiniz.",
@@ -330,7 +330,7 @@ export const dict = {
"go.faq.a2": "Go, aşağıda listelenen modelleri cömert limitler ve güvenilir erişimle sunar.",
"go.faq.q3": "Go, Zen ile aynı mı?",
"go.faq.a3":
"Hayır. Zen kullandıkça öde modelidir, Go ise ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash açık kaynak modellerine cömert limitler ve güvenilir erişim sunar.",
"Hayır. Zen kullandıkça öde modelidir, Go ise ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash açık kaynak modellerine cömert limitler ve güvenilir erişim sunar.",
"go.faq.q4": "Go ne kadar?",
"go.faq.a4.p1.beforePricing": "Go'nun maliyeti",
"go.faq.a4.p1.pricingLink": "İlk ay $5",
@@ -354,7 +354,7 @@ export const dict = {
"go.faq.q9": "Ücretsiz modeller ve Go arasındaki fark nedir?",
"go.faq.a9":
"Ücretsiz modeller, günlük 200 istek kotası ile Big Pickle ve o sırada mevcut olan promosyonel modelleri içerir. Go ise GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash modellerini; yuvarlanan pencereler (5 saatlik, haftalık ve aylık) üzerinden uygulanan daha yüksek istek kotalarıyla içerir. Bu kotalar kabaca her 5 saatte 12$, haftada 30$ ve ayda 60$ değerine eşdeğerdir (gerçek istek sayıları modele ve kullanıma göre değişir).",
"Ücretsiz modeller, günlük 200 istek kotası ile Big Pickle ve o sırada mevcut olan promosyonel modelleri içerir. Go ise GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash modellerini; yuvarlanan pencereler (5 saatlik, haftalık ve aylık) üzerinden uygulanan daha yüksek istek kotalarıyla içerir. Bu kotalar kabaca her 5 saatte 12$, haftada 30$ ve ayda 60$ değerine eşdeğerdir (gerçek istek sayıları modele ve kullanıma göre değişir).",
"zen.api.error.rateLimitExceeded": "İstek limiti aşıldı. Lütfen daha sonra tekrar deneyin.",
"zen.api.error.modelNotSupported": "{{model}} modeli desteklenmiyor",
+4 -4
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@@ -253,7 +253,7 @@ export const dict = {
"go.title": "OpenCode Go | Недорогі моделі кодування для всіх",
"go.banner.text": "MiniMax M3 отримує 3x ліміти використання протягом обмеженого часу",
"go.meta.description":
"Go починається від $5 за перший місяць, потім $10/місяць, з generous 5-годинними лімітами запитів для GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash.",
"Go починається від $5 за перший місяць, потім $10/місяць, з generous 5-годинними лімітами запитів для GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash.",
"go.hero.title": "Недорогі моделі кодування для всіх",
"go.hero.body":
"Go надає агентне програмування програмістам у всьому світі, пропонуючи щедрі ліміти та надійний доступ до найкращих моделей з відкритим кодом.",
@@ -302,7 +302,7 @@ export const dict = {
"go.problem.item2": "Щедрі ліміти та надійний доступ",
"go.problem.item3": "Створено для якомога більшої кількості програмістів",
"go.problem.item4":
"Включає GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash",
"Включає GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash",
"go.how.title": "Як працює Go",
"go.how.body":
"Go починається від $5 за перший місяць, потім $10/місяць. Використовуйте з OpenCode або будь-яким агентом.",
@@ -328,7 +328,7 @@ export const dict = {
"go.faq.a2": "Go включає моделі, перелічені нижче, із щедрими лімітами та надійним доступом.",
"go.faq.q3": "Чи Go те саме, що Zen?",
"go.faq.a3":
"Ні. Zen — це плата за використання, тоді як Go починається від $5 за перший місяць, потім $10/місяць, із щедрими лімітами та надійним доступом до моделей з відкритим кодом GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash.",
"Ні. Zen — це плата за використання, тоді як Go починається від $5 за перший місяць, потім $10/місяць, із щедрими лімітами та надійним доступом до моделей з відкритим кодом GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash.",
"go.faq.q4": "Скільки коштує Go?",
"go.faq.a4.p1.beforePricing": "Go коштує",
"go.faq.a4.p1.pricingLink": "$5 за перший місяць",
@@ -351,7 +351,7 @@ export const dict = {
"go.faq.q9": "Яка різниця між безкоштовними моделями та Go?",
"go.faq.a9":
"Безкоштовні моделі включають Big Pickle та акційні моделі з лімітом 200 запитів/день. Go включає GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash із вищими лімітами.",
"Безкоштовні моделі включають Big Pickle та акційні моделі з лімітом 200 запитів/день. Go включає GLM-5.2, GLM-5.1, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash із вищими лімітами.",
"zen.api.error.rateLimitExceeded": "Перевищено ліміт запитів. Спробуйте пізніше.",
"zen.api.error.modelNotSupported": "Модель {{model}} не підтримується",
+4 -4
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@@ -242,7 +242,7 @@ export const dict = {
"go.title": "OpenCode Go | 人人可用的低成本编程模型",
"go.banner.text": "MiniMax M3 限时享受 3 倍使用额度",
"go.meta.description":
"Go 首月 $5,之后 $10/月,提供对 GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 的 5 小时充裕请求额度。",
"Go 首月 $5,之后 $10/月,提供对 GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 的 5 小时充裕请求额度。",
"go.hero.title": "人人可用的低成本编程模型",
"go.hero.body":
"Go 将代理编程带给全世界的程序员。提供充裕的限额和对最强大的开源模型的可靠访问,让您可以利用强大的代理进行构建,而无需担心成本或可用性。",
@@ -290,7 +290,7 @@ export const dict = {
"go.problem.item2": "充裕的限额和可靠的访问",
"go.problem.item3": "为尽可能多的程序员打造",
"go.problem.item4":
"包含 GLM-5.1, GLM-5, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash",
"包含 GLM-5.2, GLM-5.1, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash",
"go.how.title": "Go 如何工作",
"go.how.body": "Go 起价为首月 $5,之后 $10/月。您可以将其与 OpenCode 或任何代理搭配使用。",
"go.how.step1.title": "创建账户",
@@ -312,7 +312,7 @@ export const dict = {
"go.faq.a2": "Go 包含下方列出的模型,提供充足的限额和可靠的访问。",
"go.faq.q3": "Go 和 Zen 一样吗?",
"go.faq.a3":
"不。Zen 是按量付费,而 Go 首月 $5,之后 $10/月,提供充裕的额度,并可可靠地访问 GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 等开源模型。",
"不。Zen 是按量付费,而 Go 首月 $5,之后 $10/月,提供充裕的额度,并可可靠地访问 GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 等开源模型。",
"go.faq.q4": "Go 多少钱?",
"go.faq.a4.p1.beforePricing": "Go 费用为",
"go.faq.a4.p1.pricingLink": "首月 $5",
@@ -334,7 +334,7 @@ export const dict = {
"go.faq.q9": "免费模型和 Go 之间的区别是什么?",
"go.faq.a9":
"免费模型包含 Big Pickle 加上当时可用的促销模型,每天有 200 次请求的配额。Go 包含 GLM-5.1, GLM-5, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash,并在滚动窗口(5 小时、每周和每月)内执行更高的请求配额,大致相当于每 5 小时 $12、每周 $30 和每月 $60(实际请求计数因模型和使用情况而异)。",
"免费模型包含 Big Pickle 加上当时可用的促销模型,每天有 200 次请求的配额。Go 包含 GLM-5.2, GLM-5.1, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash,并在滚动窗口(5 小时、每周和每月)内执行更高的请求配额,大致相当于每 5 小时 $12、每周 $30 和每月 $60(实际请求计数因模型和使用情况而异)。",
"zen.api.error.rateLimitExceeded": "超出速率限制。请稍后重试。",
"zen.api.error.modelNotSupported": "不支持模型 {{model}}",
+4 -4
View File
@@ -242,7 +242,7 @@ export const dict = {
"go.title": "OpenCode Go | 低成本全民編碼模型",
"go.banner.text": "MiniMax M3 限時享有 3 倍使用額度",
"go.meta.description":
"Go 首月 $5,之後 $10/月,提供對 GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 的 5 小時充裕請求額度。",
"Go 首月 $5,之後 $10/月,提供對 GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 的 5 小時充裕請求額度。",
"go.hero.title": "低成本全民編碼模型",
"go.hero.body":
"Go 將代理編碼帶給全世界的程式設計師。提供寬裕的限額以及對最強大開源模型的穩定存取,讓你可以使用強大的代理進行構建,而無需擔心成本或可用性。",
@@ -290,7 +290,7 @@ export const dict = {
"go.problem.item2": "寬裕的限額與穩定存取",
"go.problem.item3": "專為盡可能多的程式設計師打造",
"go.problem.item4":
"包含 GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 與 DeepSeek V4 Flash",
"包含 GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 與 DeepSeek V4 Flash",
"go.how.title": "Go 如何運作",
"go.how.body": "Go 起價為首月 $5,之後 $10/月。您可以將其與 OpenCode 或任何代理搭配使用。",
"go.how.step1.title": "建立帳號",
@@ -312,7 +312,7 @@ export const dict = {
"go.faq.a2": "Go 包含下方列出的模型,提供充足的額度與穩定的存取。",
"go.faq.q3": "Go 與 Zen 一樣嗎?",
"go.faq.a3":
"不。Zen 是按量付費,而 Go 首月 $5,之後 $10/月,提供充裕的額度,並可可靠地存取 GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 等開源模型。",
"不。Zen 是按量付費,而 Go 首月 $5,之後 $10/月,提供充裕的額度,並可可靠地存取 GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 等開源模型。",
"go.faq.q4": "Go 費用是多少?",
"go.faq.a4.p1.beforePricing": "Go 費用為",
"go.faq.a4.p1.pricingLink": "首月 $5",
@@ -334,7 +334,7 @@ export const dict = {
"go.faq.q9": "免費模型與 Go 有什麼區別?",
"go.faq.a9":
"免費模型包括 Big Pickle 以及當時可用的促銷模型,配額為 200 次請求/天。Go 包括 GLM-5.1、GLM-5、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 與 DeepSeek V4 Flash,並在滾動視窗(5 小時、每週和每月)內執行更高的請求配額,大約相當於每 5 小時 $12、每週 $30 和每月 $60(實際請求數因模型和使用情況而異)。",
"免費模型包括 Big Pickle 以及當時可用的促銷模型,配額為 200 次請求/天。Go 包括 GLM-5.2、GLM-5.1、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 與 DeepSeek V4 Flash,並在滾動視窗(5 小時、每週和每月)內執行更高的請求配額,大約相當於每 5 小時 $12、每週 $30 和每月 $60(實際請求數因模型和使用情況而異)。",
"zen.api.error.rateLimitExceeded": "超出頻率限制。請稍後再試。",
"zen.api.error.modelNotSupported": "不支援模型 {{model}}",
+2 -2
View File
@@ -23,8 +23,8 @@ const checkLoggedIn = query(async () => {
}, "checkLoggedIn.get")
const models = [
{ name: "GLM-5.2", provider: "DeepInfra, Fireworks AI, Z.ai" },
{ name: "GLM-5.1", provider: "DeepInfra, Fireworks AI, Z.ai" },
{ name: "GLM-5", provider: "DeepInfra, Fireworks AI, Z.ai" },
{ name: "Kimi K2.7 Code", provider: "Moonshot AI" },
{ name: "Kimi K2.6", provider: "Moonshot AI" },
{ name: "MiMo-V2.5-Pro", provider: "Xiaomi MiMo" },
@@ -61,7 +61,7 @@ function LimitsGraph(props: { href: string }) {
const free = 200
const graph = [
{ id: "glm-5.1", name: "GLM-5.1", req: 880, d: "100ms" },
{ id: "glm-5.2", name: "GLM-5.2", req: 880, d: "100ms" },
{ id: "qwen3.7-max", name: "Qwen3.7 Max", req: 950, d: "110ms" },
{ id: "kimi-k2.7-code", name: "Kimi K2.7 Code", req: 1150, d: "150ms" },
{ id: "mimo-v2.5-pro", name: "MiMo-V2.5-Pro", req: 3250, d: "210ms" },
@@ -259,8 +259,8 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
<ul data-slot="promo-models">
<li>Kimi K2.7 Code</li>
<li>Kimi K2.6</li>
<li>GLM-5.2</li>
<li>GLM-5.1</li>
<li>GLM-5</li>
<li>MiniMax M3</li>
<li>MiniMax M2.7</li>
<li>Qwen3.7 Max</li>
@@ -157,9 +157,6 @@ export async function handler(
logger.metric({
provider: providerInfo.id,
"provider.model": providerInfo.model,
...(providerBudgetUsage?.[providerInfo.id]
? { "provider.budget_usage": providerBudgetUsage?.[providerInfo.id] }
: {}),
})
const startTimestamp = Date.now()
@@ -1,5 +1,6 @@
import { centsToMicroCents } from "@opencode-ai/console-core/util/price.js"
import { buildRateLimitKey, getRedis } from "./redis"
import { logger } from "./logger"
export function createProviderBudgetTracker(
providers: {
@@ -22,13 +23,15 @@ export function createProviderBudgetTracker(
const keys = Object.fromEntries(
tracked.map((provider) => [provider.id, buildRateLimitKey("provider-budget", provider.id, interval)]),
)
let budgetUsage: Record<string, number> = {}
return {
check: async () => {
const ids = tracked.filter((provider) => provider.budgetMode === "fill").map((provider) => provider.id)
const ids = tracked.map((provider) => provider.id)
if (ids.length === 0) return {}
const values = await redis.mget<(string | number | null)[]>(ids.map((id) => keys[id]))
return Object.fromEntries(ids.map((id, index) => [id, Number(values[index] ?? 0)]))
budgetUsage = Object.fromEntries(ids.map((id, index) => [id, Number(values[index] ?? 0)]))
return budgetUsage
},
track: async (provider: string, costInCent: number) => {
const config = tracked.find((item) => item.id === provider)
@@ -40,6 +43,10 @@ export function createProviderBudgetTracker(
pipeline.incrby(keys[provider], cost)
pipeline.expire(keys[provider], 120)
await pipeline.exec()
logger.metric({
"provider.budget_usage": budgetUsage[provider] + cost,
"model.budget_usage": cost,
})
},
}
}
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/console-core",
"version": "1.17.7",
"version": "1.17.8",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-function",
"version": "1.17.7",
"version": "1.17.8",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-mail",
"version": "1.17.7",
"version": "1.17.8",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-support",
"version": "1.17.7",
"version": "1.17.8",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.17.7",
"version": "1.17.8",
"name": "@opencode-ai/core",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -23,7 +23,7 @@ export const Plugin = PluginV2.define({
skill: new SkillV2.Info({
name: "customize-opencode",
description:
"Use ONLY when the user is editing or creating opencode's own configuration: opencode.json, opencode.jsonc, files under .opencode/, or files under ~/.config/opencode/. Also use when creating or fixing opencode agents, subagents, skills, plugins, MCP servers, or permission rules. Do not use for the user's own application code, or for any project that is not configuring opencode itself.",
"Use ONLY when the user is editing or creating opencode's own configuration: opencode.json, opencode.jsonc, files under .opencode/, or files under ~/.config/opencode/. Also use when creating or fixing opencode agents, subagents, commands, skills, plugins, MCP servers, or permission rules. Do not use for the user's own application code, or for any project that is not configuring opencode itself.",
location: AbsolutePath.make("/builtin/customize-opencode.md"),
content: CustomizeOpencodeContent,
}),
@@ -43,6 +43,8 @@ already-loaded config until then.
| Global config | `~/.config/opencode/opencode.json` (NOT `~/.opencode/`) |
| Project agents | `.opencode/agent/<name>.md` or `.opencode/agents/<name>.md` |
| Global agents | `~/.config/opencode/agent(s)/<name>.md` |
| Project commands | `.opencode/command/<name>.md` or `.opencode/commands/<name>.md` |
| Global commands | `~/.config/opencode/command(s)/<name>.md` |
| Project skills | `.opencode/skill(s)/<name>/SKILL.md` |
| Global skills | `~/.config/opencode/skill(s)/<name>/SKILL.md` |
| External skills (auto-loaded) | `~/.claude/skills/<name>/SKILL.md`, `~/.agents/skills/<name>/SKILL.md` |
@@ -96,7 +98,7 @@ Every field is optional.
},
"command": {
"deploy": { "description": "...", "prompt": "..." }
"deploy": { "description": "...", "template": "..." }
},
"provider": {
@@ -151,6 +153,7 @@ Shape notes worth being explicit about:
- `skills` is an object with `paths` and/or `urls`, not an array.
- `references` is an object keyed by alias. Each value is a local path, Git repository, or string shorthand.
- `agent` is an object keyed by agent name, not an array.
- `command` is an object keyed by command name, not an array.
- `plugin` is an array of strings or `[name, options]` tuples, not an object.
- `mcp[name].command` is an array of strings, never a single string. `type` is required.
- `permission` is either a string action or an object keyed by tool name.
@@ -277,6 +280,31 @@ opencode ships with `build`, `plan`, `general`, `explore`. Hidden internal agent
`compaction`, `title`, `summary`. To override a built-in's fields, define the
same key in `agent: { <name>: { ... } }`.
## Commands
opencode's command loader scans for `**/*.md` inside command directories. The
file is named after the command, and lives directly inside the `command` folder:
```
.opencode/command/deploy.md
```
Frontmatter:
```markdown
---
description: One sentence describing what the command does.
agent: build
model: anthropic/claude-sonnet-4-6
---
(command body in markdown: the prompt opencode runs, with $ARGUMENTS for the user's input)
```
- `template` is the command body — everything below the frontmatter — and is required: it is the prompt opencode runs when the command is invoked. Do not also put a `template:` key in the frontmatter.
- `$ARGUMENTS` is replaced with everything the user typed after the command; `$1`, `$2`, … pull individual positional arguments.
- Optional: `description`, `agent`, `model`, `variant`, `subtask`.
## Plugins
`plugin:` is an array. Each entry is one of:
@@ -415,8 +443,8 @@ When a user's config is broken and opencode won't start, these env vars help:
exact shape, or the field is not covered in this skill, fetch
`https://opencode.ai/config.json` and read the schema rather than guessing.
- Preserve `$schema` and any existing fields the user did not ask to change.
- For agent, skill, and plugin definitions, prefer creating new files in the
correct location over inlining everything in `opencode.json`.
- For agent, command, skill, and plugin definitions, prefer creating new files
in the correct location over inlining everything in `opencode.json`.
- If the user's existing config is malformed, point them at the env-var escape
hatches above so they can edit from inside opencode without breaking their
session.
+1 -10
View File
@@ -1,7 +1,7 @@
export * as SessionRunner from "./index"
import type { LLMError } from "@opencode-ai/llm"
import { Context, Effect, Schema } from "effect"
import { Context, Effect } from "effect"
import { SessionSchema } from "../schema"
import type { ContextSnapshotDecodeError, MessageDecodeError } from "../error"
import { SessionRunnerModel } from "./model"
@@ -9,20 +9,11 @@ import type { SystemContext } from "../../system-context/index"
import type { SessionContextEpoch } from "../context-epoch"
import type { ToolOutputStore } from "../../tool-output-store"
export class StepLimitExceededError extends Schema.TaggedErrorClass<StepLimitExceededError>()(
"SessionRunner.StepLimitExceededError",
{
sessionID: SessionSchema.ID,
limit: Schema.Int,
},
) {}
export type RunError =
| LLMError
| SessionRunnerModel.Error
| MessageDecodeError
| ContextSnapshotDecodeError
| StepLimitExceededError
| SystemContext.InitializationBlocked
| SessionContextEpoch.AgentReplacementBlocked
| ToolOutputStore.Error
+26 -22
View File
@@ -3,6 +3,7 @@ import {
LLMClient,
LLMError,
LLMEvent,
Message,
SystemPart,
isContextOverflowFailure,
type ProviderErrorEvent,
@@ -29,10 +30,11 @@ import { SessionHistory } from "../history"
import { SessionInput } from "../input"
import { SessionSchema } from "../schema"
import { SessionStore } from "../store"
import { type RunError, Service, StepLimitExceededError } from "./index"
import { type RunError, Service } from "./index"
import { SessionRunnerModel } from "./model"
import { createLLMEventPublisher } from "./publish-llm-event"
import { toLLMMessages } from "./to-llm-message"
import { MAX_STEPS_PROMPT } from "./max-steps"
/**
* Runs one durable coding-agent Session until it settles.
@@ -45,7 +47,7 @@ import { toLLMMessages } from "./to-llm-message"
* - [ ] Replace local ownership with durable multi-node ownership when clustered.
* - [ ] Mark busy, retrying, idle, interrupted, or terminal-failure status durably.
* - [ ] Honor interruption and reject stale work after runtime attachment replacement.
* - [x] Bound model steps.
* - [x] Honor optional agent step limits.
* - [ ] Bound provider retries and repeated identical tool calls.
*
* - Runtime context assembly
@@ -80,13 +82,10 @@ import { toLLMMessages } from "./to-llm-message"
* Durable activity recovery remains a separate future slice with an explicit retry policy.
*
* The current slice loads V2 history, translates it, resolves a model through a core service, and persists one
* provider turn. Registry definitions are advertised, local tool calls are settled durably, and a
* bounded explicit loop starts the next provider turn after local settlement.
* provider turn. Registry definitions are advertised, local tool calls are settled durably, and an
* explicit loop starts the next provider turn after local settlement. Configured agent step limits bound the loop.
*/
// QUESTION: Did this exist previously, or did we add this limit? Does it make sense?
const MAX_STEPS = 25
export const layer = Layer.effect(
Service,
Effect.gen(function* () {
@@ -175,6 +174,7 @@ export const layer = Layer.effect(
const runTurnAttempt = Effect.fn("SessionRunner.runTurn")(function* (
sessionID: SessionSchema.ID,
promotion: SessionInput.Delivery | undefined,
step: number,
recoverOverflow?: typeof compaction.compactAfterOverflow,
) {
const session = yield* getSession(sessionID)
@@ -214,7 +214,8 @@ export const layer = Layer.effect(
const model = yield* models.resolve(session)
const entries = yield* SessionHistory.entriesForRunner(db, session.id, system.baselineSeq)
const context = entries.map((entry) => entry.message)
const toolMaterialization = yield* tools.materialize(agent.info?.permissions)
const isLastStep = agent.info?.steps !== undefined && step >= agent.info.steps
const toolMaterialization = isLastStep ? undefined : yield* tools.materialize(agent.info?.permissions)
const promptCacheKey = /^ses_[0-9a-f]{64}$/.test(session.id) ? session.id.slice(4) : session.id
const request = LLM.request({
model,
@@ -222,8 +223,9 @@ export const layer = Layer.effect(
system: [agent.info?.system, system.baseline]
.filter((part): part is string => part !== undefined && part.length > 0)
.map(SystemPart.make),
messages: toLLMMessages(context, model),
tools: toolMaterialization.definitions,
messages: [...toLLMMessages(context, model), ...(isLastStep ? [Message.assistant(MAX_STEPS_PROMPT)] : [])],
tools: toolMaterialization?.definitions ?? [],
toolChoice: isLastStep ? "none" : undefined,
})
if (yield* compaction.compactIfNeeded({ sessionID: session.id, entries, model, request }))
return yield* Effect.die(rebuildPreparedTurn())
@@ -254,6 +256,10 @@ export const layer = Layer.effect(
}
yield* publish(event)
if (event.type !== "tool-call" || event.providerExecuted) return
if (!toolMaterialization) {
yield* withPublication(publisher.failUnsettledTools("Tools are disabled after the maximum agent steps"))
return
}
needsContinuation = true
const assistantMessageID = yield* publisher.assistantMessageID(event.id)
yield* Effect.uninterruptibleMask((restore) =>
@@ -340,31 +346,32 @@ export const layer = Layer.effect(
type RunTurn = (
sessionID: SessionSchema.ID,
promotion: SessionInput.Delivery | undefined,
step: number,
) => Effect.Effect<boolean, RunError>
const runAfterOverflowCompaction: RunTurn = Effect.fnUntraced(function* (sessionID, promotion) {
return yield* runTurnAttempt(sessionID, promotion).pipe(
const runAfterOverflowCompaction: RunTurn = Effect.fnUntraced(function* (sessionID, promotion, step) {
return yield* runTurnAttempt(sessionID, promotion, step).pipe(
Effect.catchDefect(
Effect.fnUntraced(function* (defect) {
if (!(defect instanceof TurnTransitionError)) return yield* Effect.die(defect)
if (defect.transition._tag === "ContinueAfterOverflowCompaction")
return yield* Effect.die("Post-compaction provider attempt cannot recover another overflow")
yield* Effect.yieldNow
return yield* runAfterOverflowCompaction(sessionID, defect.transition.promotion)
return yield* runAfterOverflowCompaction(sessionID, defect.transition.promotion, step)
}),
),
)
})
const runTurn: RunTurn = Effect.fnUntraced(function* (sessionID, promotion) {
return yield* runTurnAttempt(sessionID, promotion, compaction.compactAfterOverflow).pipe(
const runTurn: RunTurn = Effect.fnUntraced(function* (sessionID, promotion, step) {
return yield* runTurnAttempt(sessionID, promotion, step, compaction.compactAfterOverflow).pipe(
Effect.catchDefect(
Effect.fnUntraced(function* (defect) {
if (!(defect instanceof TurnTransitionError)) return yield* Effect.die(defect)
yield* Effect.yieldNow
if (defect.transition._tag === "ContinueAfterOverflowCompaction")
return yield* runAfterOverflowCompaction(sessionID, undefined)
return yield* runTurn(sessionID, defect.transition.promotion)
return yield* runAfterOverflowCompaction(sessionID, undefined, step)
return yield* runTurn(sessionID, defect.transition.promotion, step)
}),
),
)
@@ -382,14 +389,11 @@ export const layer = Layer.effect(
let openActivity = input.force === true || hasSteer || hasQueue
while (openActivity) {
let needsContinuation = true
for (let step = 0; step < MAX_STEPS; step++) {
needsContinuation = yield* runTurn(input.sessionID, promotion)
for (let step = 1; needsContinuation; step++) {
needsContinuation = yield* runTurn(input.sessionID, promotion, step)
promotion = "steer"
if (!needsContinuation) needsContinuation = yield* SessionInput.hasPending(db, input.sessionID, "steer")
if (!needsContinuation) break
}
if (needsContinuation)
return yield* new StepLimitExceededError({ sessionID: input.sessionID, limit: MAX_STEPS })
openActivity = yield* SessionInput.hasPending(db, input.sessionID, "queue")
promotion = openActivity ? "queue" : undefined
}
@@ -1,4 +1,4 @@
CRITICAL - MAXIMUM STEPS REACHED
export const MAX_STEPS_PROMPT = `CRITICAL - MAXIMUM STEPS REACHED
The maximum number of steps allowed for this task has been reached. Tools are disabled until next user input. Respond with text only.
@@ -13,4 +13,4 @@ Response must include:
- List of any remaining tasks that were not completed
- Recommendations for what should be done next
Any attempt to use tools is a critical violation. Respond with text ONLY.
Any attempt to use tools is a critical violation. Respond with text ONLY.`
+2 -1
View File
@@ -5,10 +5,11 @@ import { tmpdir } from "node:os"
import path from "node:path"
import { Effect, Exit, Fiber, Stream } from "effect"
import { ChildProcess } from "effect/unstable/process"
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { AppProcess } from "@opencode-ai/core/process"
import { testEffect } from "../lib/effect"
const it = testEffect(AppProcess.defaultLayer)
const it = testEffect(LayerNode.buildLayer(AppProcess.node))
const NODE = process.execPath
const cmd = (...args: string[]) => ChildProcess.make(NODE, args)
+54 -56
View File
@@ -1461,6 +1461,7 @@ describe("SessionRunnerLLM", () => {
})
requests.length = 0
executions.length = 0
responses = [
fragmentFixture("text", "text-summary-2", ["## Goal\n- Preserve the updated task"]).completeEvents,
fragmentFixture("text", "text-final-2", ["Continued again"]).completeEvents,
@@ -3177,7 +3178,7 @@ describe("SessionRunnerLLM", () => {
}),
)
it.effect("fails after the bounded number of local tool continuation steps", () =>
it.effect("continues past 25 local tool steps when the agent has no step limit", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
@@ -3188,62 +3189,10 @@ describe("SessionRunnerLLM", () => {
executions.length = 0
streamGate = undefined
streamStarted = undefined
responses = Array.from({ length: 25 }, (_, index) => [
LLMEvent.stepStart({ index: 0 }),
LLMEvent.toolCall({ id: `call-echo-${index}`, name: "echo", input: { text: `${index}` } }),
LLMEvent.stepFinish({ index: 0, reason: "tool-calls" }),
LLMEvent.finish({ reason: "tool-calls" }),
])
const failure = yield* session.resume(sessionID).pipe(Effect.flip)
expect(failure).toMatchObject({ _tag: "SessionRunner.StepLimitExceededError", sessionID, limit: 25 })
expect(requests).toHaveLength(25)
expect(executions).toHaveLength(25)
}),
)
it.effect("does not restart a capped tool loop for a coalesced stale wake", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
const coordinator = yield* SessionRunCoordinator.Service
yield* session.prompt({ sessionID, prompt: new Prompt({ text: "Loop forever" }), resume: false })
requests.length = 0
responses = Array.from({ length: 25 }, (_, index) => [
LLMEvent.stepStart({ index: 0 }),
LLMEvent.toolCall({ id: `call-capped-${index}`, name: "echo", input: { text: `${index}` } }),
LLMEvent.stepFinish({ index: 0, reason: "tool-calls" }),
LLMEvent.finish({ reason: "tool-calls" }),
])
streamGate = yield* Deferred.make<void>()
streamStarted = yield* Deferred.make<void>()
const run = yield* session.resume(sessionID).pipe(Effect.forkChild)
yield* Deferred.await(streamStarted)
yield* coordinator.wake(sessionID)
yield* Deferred.succeed(streamGate, undefined)
expect(yield* Fiber.join(run).pipe(Effect.flip)).toMatchObject({ _tag: "SessionRunner.StepLimitExceededError" })
streamGate = undefined
streamStarted = undefined
yield* Effect.yieldNow
expect(requests).toHaveLength(25)
}),
)
it.effect("accepts a terminal response on the final bounded provider turn", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
yield* session.prompt({ sessionID, prompt: new Prompt({ text: "Finish at the limit" }), resume: false })
requests.length = 0
responses = [
...Array.from({ length: 24 }, (_, index) => [
...Array.from({ length: 25 }, (_, index) => [
LLMEvent.stepStart({ index: 0 }),
LLMEvent.toolCall({ id: `call-terminal-${index}`, name: "echo", input: { text: `${index}` } }),
LLMEvent.toolCall({ id: `call-echo-${index}`, name: "echo", input: { text: `${index}` } }),
LLMEvent.stepFinish({ index: 0, reason: "tool-calls" }),
LLMEvent.finish({ reason: "tool-calls" }),
]),
@@ -3256,7 +3205,56 @@ describe("SessionRunnerLLM", () => {
yield* session.resume(sessionID)
expect(requests).toHaveLength(25)
expect(requests).toHaveLength(26)
expect(executions).toHaveLength(25)
}),
)
it.effect("forces a text response on an agent's configured final step", () =>
Effect.gen(function* () {
yield* setup
const agents = yield* AgentV2.Service
yield* agents.update((editor) =>
editor.update(AgentV2.ID.make("build"), (agent) => {
agent.steps = 2
}),
)
const session = yield* SessionV2.Service
yield* session.prompt({ sessionID, prompt: new Prompt({ text: "Finish at the limit" }), resume: false })
requests.length = 0
executions.length = 0
responses = [
[
LLMEvent.stepStart({ index: 0 }),
LLMEvent.toolCall({ id: "call-terminal", name: "echo", input: { text: "done" } }),
LLMEvent.stepFinish({ index: 0, reason: "tool-calls" }),
LLMEvent.finish({ reason: "tool-calls" }),
],
[
LLMEvent.stepStart({ index: 0 }),
LLMEvent.toolCall({ id: "call-forbidden", name: "echo", input: { text: "forbidden" } }),
LLMEvent.stepFinish({ index: 0, reason: "tool-calls" }),
LLMEvent.finish({ reason: "tool-calls" }),
],
]
yield* session.resume(sessionID)
expect(requests).toHaveLength(2)
expect(requests[0]?.toolChoice).toBeUndefined()
expect(requests[1]?.toolChoice).toMatchObject({ type: "none" })
expect(requests[1]?.tools).toEqual([])
expect(requests[1]?.messages.at(-1)).toMatchObject({
role: "assistant",
content: [{ type: "text", text: expect.stringContaining("MAXIMUM STEPS REACHED") }],
})
expect(executions).toEqual(["done"])
expect(yield* session.context(sessionID)).toMatchObject([
{ type: "user", text: "Finish at the limit" },
{ type: "assistant", content: [{ type: "tool", id: "call-terminal", state: { status: "completed" } }] },
{ type: "assistant", content: [{ type: "tool", id: "call-forbidden", state: { status: "error" } }] },
])
}),
)
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/desktop",
"private": true,
"version": "1.17.7",
"version": "1.17.8",
"type": "module",
"license": "MIT",
"homepage": "https://opencode.ai",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.17.7",
"version": "1.17.8",
"name": "@opencode-ai/effect-drizzle-sqlite",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.17.7",
"version": "1.17.8",
"name": "@opencode-ai/effect-sqlite-node",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/enterprise",
"version": "1.17.7",
"version": "1.17.8",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/function",
"version": "1.17.7",
"version": "1.17.8",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.17.7",
"version": "1.17.8",
"name": "@opencode-ai/http-recorder",
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.17.7",
"version": "1.17.8",
"name": "@opencode-ai/llm",
"type": "module",
"license": "MIT",
@@ -412,6 +412,9 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
stopSequences: generation?.stop,
},
toolConfig,
// Converse's base inferenceConfig has no topK; Anthropic/Nova accept it
// as a model-specific field, so it goes through additionalModelRequestFields.
additionalModelRequestFields: generation?.topK === undefined ? undefined : { top_k: generation.topK },
}
})
@@ -83,6 +83,26 @@ describe("Bedrock Converse route", () => {
}),
)
it.effect("passes topK through additionalModelRequestFields as top_k", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
LLM.updateRequest(baseRequest, { generation: { maxTokens: 64, temperature: 0, topK: 40 } }),
)
// Converse's inferenceConfig has no topK; Anthropic/Nova read it from
// additionalModelRequestFields as top_k.
expect(prepared.body.inferenceConfig).toEqual({ maxTokens: 64, temperature: 0 })
expect(prepared.body.additionalModelRequestFields).toEqual({ top_k: 40 })
}),
)
it.effect("omits additionalModelRequestFields when topK is unset", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(baseRequest)
expect(prepared.body.additionalModelRequestFields).toBeUndefined()
}),
)
it.effect("lowers chronological system updates to wrapped user text in order", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.17.7",
"version": "1.17.8",
"name": "opencode",
"type": "module",
"license": "MIT",
@@ -70,6 +70,7 @@ export async function CopilotAuthPlugin(input: PluginInput): Promise<Hooks> {
return CopilotModels.get(
base(auth.enterpriseUrl),
{
...(provider.options?.headers as Record<string, string> | undefined),
Authorization: `Bearer ${auth.refresh}`,
"User-Agent": `opencode/${InstallationVersion}`,
"X-GitHub-Api-Version": API_VERSION,
+24 -2
View File
@@ -218,7 +218,7 @@ function normalizeMessages(
if (
model.providerID === "mistral" ||
model.api.id.toLowerCase().includes("mistral") ||
model.api.id.toLocaleLowerCase().includes("devstral")
model.api.id.toLowerCase().includes("devstral")
) {
const scrub = (id: string) => {
return id
@@ -666,6 +666,9 @@ export function variants(model: Provider.Model): Record<string, Record<string, a
if (!model.capabilities.reasoning) return {}
const id = model.id.toLowerCase()
const glm52 = ["glm-5.2", "glm-5-2", "glm-5p2"].some(
(name) => id.includes(name) || model.api.id.toLowerCase().includes(name),
)
if (
model.api.id.toLowerCase().includes("minimax-m3") &&
["@ai-sdk/anthropic", "@ai-sdk/openai-compatible"].includes(model.api.npm)
@@ -677,13 +680,32 @@ export function variants(model: Provider.Model): Record<string, Record<string, a
}
const adaptiveThinkingOmitted = anthropicOmitsThinking(model.api.id)
const adaptiveEfforts = anthropicAdaptiveEfforts(model.api.id)
if (glm52 && model.api.npm === "@openrouter/ai-sdk-provider") {
// OpenRouter maps xhigh to GLM-5.2's native max effort.
return {
high: { reasoning: { effort: "high" } },
xhigh: { reasoning: { effort: "xhigh" } },
}
}
if (glm52 && model.api.npm === "@ai-sdk/openai-compatible") {
return {
high: { reasoningEffort: "high" },
max: { reasoningEffort: "max" },
}
}
if (glm52 && model.api.npm === "@ai-sdk/anthropic") {
return {
high: { effort: "high" },
max: { effort: "max" },
}
}
if (
id.includes("deepseek-chat") ||
id.includes("deepseek-reasoner") ||
id.includes("deepseek-r1") ||
id.includes("deepseek-v3") ||
id.includes("minimax") ||
id.includes("glm") ||
(id.includes("glm") && !glm52) ||
id.includes("kimi") ||
id.includes("k2p") ||
id.includes("qwen") ||
@@ -25,6 +25,10 @@ const ConsoleStateResponse = Schema.Struct({
switchableOrgCount: NonNegativeInt,
}).annotate({ identifier: "ConsoleState" })
const CapabilitiesResponse = Schema.Struct({
backgroundSubagents: Schema.Boolean,
}).annotate({ identifier: "ExperimentalCapabilities" })
const ConsoleOrgOption = Schema.Struct({
accountID: Schema.String,
accountEmail: Schema.String,
@@ -84,6 +88,7 @@ export const SessionListQuery = Schema.Struct({
})
export const ExperimentalPaths = {
capabilities: "/experimental/capabilities",
console: "/experimental/console",
consoleOrgs: "/experimental/console/orgs",
consoleSwitch: "/experimental/console/switch",
@@ -100,6 +105,16 @@ export const ExperimentalApi = HttpApi.make("experimental")
.add(
HttpApiGroup.make("experimental")
.add(
HttpApiEndpoint.get("capabilities", ExperimentalPaths.capabilities, {
query: WorkspaceRoutingQuery,
success: described(CapabilitiesResponse, "Experimental capabilities"),
}).annotateMerge(
OpenApi.annotations({
identifier: "experimental.capabilities.get",
summary: "Get experimental capabilities",
description: "Get experimental features enabled on the OpenCode server.",
}),
),
HttpApiEndpoint.get("console", ExperimentalPaths.console, {
query: WorkspaceRoutingQuery,
success: described(ConsoleStateResponse, "Active Console provider metadata"),
@@ -36,6 +36,10 @@ export const experimentalHandlers = HttpApiBuilder.group(InstanceHttpApi, "exper
const background = yield* BackgroundJob.Service
const flags = yield* RuntimeFlags.Service
const capabilities = Effect.fn("ExperimentalHttpApi.capabilities")(function* () {
return { backgroundSubagents: flags.experimentalBackgroundSubagents }
})
const getConsole = Effect.fn("ExperimentalHttpApi.console")(function* () {
const [state, groups] = yield* Effect.all(
[
@@ -171,6 +175,7 @@ export const experimentalHandlers = HttpApiBuilder.group(InstanceHttpApi, "exper
})
return handlers
.handle("capabilities", capabilities)
.handle("console", getConsole)
.handle("consoleOrgs", listConsoleOrgs)
.handle("consoleSwitch", switchConsole)
+5 -20
View File
@@ -16,7 +16,7 @@ import { SessionCompaction } from "./compaction"
import { SystemPrompt } from "./system"
import { Instruction } from "./instruction"
import { Plugin } from "../plugin"
import MAX_STEPS from "../session/prompt/max-steps.txt"
import { MAX_STEPS_PROMPT } from "@opencode-ai/core/session/runner/max-steps"
import { ToolRegistry } from "@/tool/registry"
import { MCP } from "../mcp"
import { LSP } from "@/lsp/lsp"
@@ -1304,24 +1304,6 @@ export const layer = Layer.effect(
if (step === 1)
yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))
if (step > 1 && lastFinished) {
for (const m of msgs) {
if (m.info.role !== "user" || m.info.id <= lastFinished.id) continue
for (const p of m.parts) {
if (p.type !== "text" || p.ignored || p.synthetic) continue
if (!p.text.trim()) continue
p.text = [
"<system-reminder>",
"The user sent the following message:",
p.text,
"",
"Please address this message and continue with your tasks.",
"</system-reminder>",
].join("\n")
}
}
}
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
const [skills, env, instructions, modelMsgs] = yield* Effect.all([
@@ -1340,7 +1322,10 @@ export const layer = Layer.effect(
sessionID,
parentSessionID: session.parentID,
system,
messages: [...modelMsgs, ...(isLastStep ? [{ role: "assistant" as const, content: MAX_STEPS }] : [])],
messages: [
...modelMsgs,
...(isLastStep ? [{ role: "assistant" as const, content: MAX_STEPS_PROMPT }] : []),
],
tools,
model,
toolChoice: format.type === "json_schema" ? "required" : undefined,
@@ -2895,6 +2895,102 @@ describe("ProviderTransform.variants", () => {
expect(result).toEqual({})
})
test("glm-5.2 returns native effort variants for openai-compatible providers", () => {
const model = createMockModel({
id: "zhipuai/glm-5.2",
providerID: "zhipuai",
api: {
id: "glm-5.2",
url: "https://open.bigmodel.cn/api/paas/v4",
npm: "@ai-sdk/openai-compatible",
},
})
expect(ProviderTransform.variants(model)).toEqual({
high: { reasoningEffort: "high" },
max: { reasoningEffort: "max" },
})
})
test("recognizes GLM-5.2 provider model IDs", () => {
for (const id of ["accounts/fireworks/models/glm-5p2", "zai-org-glm-5-2", "umans-glm-5.2"]) {
const model = createMockModel({
id: `test/${id}`,
api: {
id,
url: "https://api.test.com",
npm: "@ai-sdk/openai-compatible",
},
})
expect(ProviderTransform.variants(model)).toEqual({
high: { reasoningEffort: "high" },
max: { reasoningEffort: "max" },
})
}
})
test("recognizes GLM-5.2 from the API ID when the configured model ID is an alias", () => {
const model = createMockModel({
id: "custom/my-glm",
api: {
id: "accounts/fireworks/models/glm-5p2",
url: "https://api.fireworks.ai/inference/v1",
npm: "@ai-sdk/openai-compatible",
},
})
expect(ProviderTransform.variants(model)).toEqual({
high: { reasoningEffort: "high" },
max: { reasoningEffort: "max" },
})
})
test("glm-5.2 returns openrouter effort variants for openrouter", () => {
const model = createMockModel({
id: "openrouter/z-ai/glm-5.2",
providerID: "openrouter",
api: {
id: "z-ai/glm-5.2",
url: "https://openrouter.ai/api/v1",
npm: "@openrouter/ai-sdk-provider",
},
})
expect(ProviderTransform.variants(model)).toEqual({
high: { reasoning: { effort: "high" } },
xhigh: { reasoning: { effort: "xhigh" } },
})
})
test("glm-5.2 returns effort variants for anthropic-compatible providers", () => {
const model = createMockModel({
id: "zai-coding-plan/glm-5.2",
providerID: "zai-coding-plan",
api: {
id: "glm-5.2",
url: "https://api.z.ai/api/anthropic",
npm: "@ai-sdk/anthropic",
},
})
expect(ProviderTransform.variants(model)).toEqual({
high: { effort: "high" },
max: { effort: "max" },
})
})
test("glm-5.2 falls back to provider defaults for other packages", () => {
const model = createMockModel({
id: "test/glm-5.2",
api: {
id: "glm-5.2",
url: "https://api.test.com",
npm: "@ai-sdk/amazon-bedrock",
},
})
expect(ProviderTransform.variants(model)).toEqual({
low: { reasoningConfig: { type: "enabled", maxReasoningEffort: "low" } },
medium: { reasoningConfig: { type: "enabled", maxReasoningEffort: "medium" } },
high: { reasoningConfig: { type: "enabled", maxReasoningEffort: "high" } },
})
})
test("mistral models with reasoning support return variants", () => {
const model = createMockModel({
id: "mistral/mistral-small-latest",
@@ -578,6 +578,10 @@ const scenarios: Scenario[] = [
.get("/experimental/session", "experimental.session.list")
.at((ctx) => ({ path: "/experimental/session?roots=false&archived=false", headers: ctx.headers() }))
.json(200, array),
http.protected.get("/experimental/capabilities", "experimental.capabilities.get").json(200, (body) => {
check(typeof body === "object" && body !== null, "capabilities should be an object")
check("backgroundSubagents" in body, "capabilities should report background subagents")
}),
http.protected
.post("/experimental/session/{sessionID}/background", "experimental.session.background")
.mutating()
@@ -27,18 +27,17 @@ const Event = Schema.Struct({
}),
data: Schema.Unknown,
})
const EventEnvelope = Schema.Struct({ type: Schema.String })
async function readEvent(reader: ReadableStreamDefaultReader<Uint8Array>): Promise<unknown> {
async function readEvent(reader: ReadableStreamDefaultReader<Uint8Array>) {
const value = await reader.read()
if (value.done) throw new Error("event stream closed")
return JSON.parse(new TextDecoder().decode(value.value).replace(/^data: /, ""))
return Schema.decodeUnknownSync(Event)(JSON.parse(new TextDecoder().decode(value.value).replace(/^data: /, "")))
}
async function readEventType(reader: ReadableStreamDefaultReader<Uint8Array>, type: string) {
for (let index = 0; index < 20; index++) {
const event = await readEvent(reader)
if (Schema.decodeUnknownSync(EventEnvelope)(event).type === type) return event
if (event.type === type) return event
}
throw new Error(`timed out waiting for ${type}`)
}
@@ -49,28 +48,6 @@ afterEach(async () => {
})
describe("v2 location HttpApi", () => {
test("skips unrelated event payload shapes while waiting for a type", async () => {
const encoder = new TextEncoder()
const reader = new ReadableStream<Uint8Array>({
start(controller) {
controller.enqueue(
encoder.encode('data: {"id":"1","type":"project.updated","location":{"directory":"/tmp"},"data":{}}'),
)
controller.enqueue(
encoder.encode(
'data: {"id":"2","type":"session.created","location":{"directory":"/tmp","project":{"id":"project","directory":"/tmp"}},"data":{"sessionID":"session"}}',
),
)
controller.close()
},
}).getReader()
expect(Schema.decodeUnknownSync(Event)(await readEventType(reader, "session.created"))).toMatchObject({
type: "session.created",
data: { sessionID: "session" },
})
})
test("returns command and skill snapshots with resolved locations", async () => {
await using tmp = await tmpdir({ git: true })
@@ -91,13 +68,11 @@ describe("v2 location HttpApi", () => {
await using tmp = await tmpdir({ git: true })
const response = await request("/api/event", tmp.path)
const reader = response.body!.getReader()
expect(Schema.decodeUnknownSync(EventEnvelope)(await readEventType(reader, "server.connected")).type).toBe(
"server.connected",
)
expect((await readEvent(reader)).type).toBe("server.connected")
const created = await request("/session", tmp.path, { method: "POST" })
expect(created.status).toBe(200)
expect(Schema.decodeUnknownSync(Event)(await readEventType(reader, "session.created"))).toMatchObject({
expect(await readEventType(reader, "session.created")).toMatchObject({
type: "session.created",
location: { directory: tmp.path, project: { directory: tmp.path } },
data: { sessionID: expect.any(String) },
@@ -27,7 +27,7 @@ import type { Provider } from "@/provider/provider"
import * as SessionProcessorModule from "../../src/session/processor"
import { Snapshot } from "../../src/snapshot"
import { ProviderTest } from "../fake/provider"
import { awaitWithTimeout, testEffect } from "../lib/effect"
import { testEffect } from "../lib/effect"
import { CrossSpawnSpawner } from "@opencode-ai/core/cross-spawn-spawner"
import { TestConfig } from "../fixture/config"
import { RuntimeFlags } from "@/effect/runtime-flags"
@@ -1250,15 +1250,15 @@ describe("session.compaction.process", () => {
})
.pipe(Effect.forkChild)
yield* awaitWithTimeout(Deferred.await(ready), "timed out waiting for compaction retry", "10 seconds")
const exit = yield* Effect.gen(function* () {
yield* Fiber.interrupt(fiber)
return yield* Fiber.await(fiber)
}).pipe(Effect.timeout("1 second"))
yield* Deferred.await(ready).pipe(Effect.timeout("1 second"))
const start = Date.now()
yield* Fiber.interrupt(fiber)
const exit = yield* Fiber.await(fiber).pipe(Effect.timeout("250 millis"))
expect(Exit.isFailure(exit)).toBe(true)
if (Exit.isFailure(exit)) {
expect(Cause.hasInterrupts(exit.cause)).toBe(true)
expect(Date.now() - start).toBeLessThan(250)
}
}).pipe(withCompaction({ llm: stub.layer }))
},
@@ -1242,7 +1242,7 @@ it.instance(
}
}),
{ git: true },
10_000,
3_000,
)
// Queue semantics
@@ -1280,7 +1280,7 @@ it.instance(
expect(a.info.id).toBe(b.info.id)
expect(a.info.role).toBe("assistant")
}),
10_000,
3_000,
)
it.instance(
@@ -1346,7 +1346,9 @@ it.instance(
const inputs = yield* llm.inputs
expect(inputs).toHaveLength(2)
expect(JSON.stringify(inputs.at(-1)?.messages)).toContain("second")
const messages = inputs.at(-1)?.messages
if (!Array.isArray(messages)) throw new Error("expected LLM messages")
expect(messages.at(-1)).toEqual({ role: "user", content: "second" })
}),
3_000,
)
@@ -1628,7 +1630,7 @@ it.instance(
expect(yield* llm.calls).toBe(1)
}),
{ git: true },
10_000,
3_000,
)
it.instance(
@@ -1667,7 +1669,7 @@ it.instance(
expect(yield* llm.calls).toBe(1)
}),
{ git: true },
10_000,
3_000,
)
unix(
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/plugin",
"version": "1.17.7",
"version": "1.17.8",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/sdk",
"version": "1.17.7",
"version": "1.17.8",
"type": "module",
"license": "MIT",
"scripts": {
+43
View File
@@ -29,6 +29,8 @@ import type {
EventTuiPromptAppend,
EventTuiSessionSelect,
EventTuiToastShow,
ExperimentalCapabilitiesGetErrors,
ExperimentalCapabilitiesGetResponses,
ExperimentalConsoleGetErrors,
ExperimentalConsoleGetResponses,
ExperimentalConsoleListOrgsErrors,
@@ -627,6 +629,42 @@ export class ControlPlane extends HeyApiClient {
}
}
export class Capabilities extends HeyApiClient {
/**
* Get experimental capabilities
*
* Get experimental features enabled on the OpenCode server.
*/
public get<ThrowOnError extends boolean = false>(
parameters?: {
directory?: string
workspace?: string
},
options?: Options<never, ThrowOnError>,
) {
const params = buildClientParams(
[parameters],
[
{
args: [
{ in: "query", key: "directory" },
{ in: "query", key: "workspace" },
],
},
],
)
return (options?.client ?? this.client).get<
ExperimentalCapabilitiesGetResponses,
ExperimentalCapabilitiesGetErrors,
ThrowOnError
>({
url: "/experimental/capabilities",
...options,
...params,
})
}
}
export class Console extends HeyApiClient {
/**
* Get active Console provider metadata
@@ -1180,6 +1218,11 @@ export class Experimental extends HeyApiClient {
return (this._controlPlane ??= new ControlPlane({ client: this.client }))
}
private _capabilities?: Capabilities
get capabilities(): Capabilities {
return (this._capabilities ??= new Capabilities({ client: this.client }))
}
private _console?: Console
get console(): Console {
return (this._console ??= new Console({ client: this.client }))
+34
View File
@@ -2144,6 +2144,10 @@ export type Provider = {
}
}
export type ExperimentalCapabilities = {
backgroundSubagents: boolean
}
export type ConsoleState = {
consoleManagedProviders: Array<string>
activeOrgName?: string
@@ -5549,6 +5553,36 @@ export type ConfigProvidersResponses = {
export type ConfigProvidersResponse = ConfigProvidersResponses[keyof ConfigProvidersResponses]
export type ExperimentalCapabilitiesGetData = {
body?: never
path?: never
query?: {
directory?: string
workspace?: string
}
url: "/experimental/capabilities"
}
export type ExperimentalCapabilitiesGetErrors = {
/**
* Bad request
*/
400: BadRequestError
}
export type ExperimentalCapabilitiesGetError =
ExperimentalCapabilitiesGetErrors[keyof ExperimentalCapabilitiesGetErrors]
export type ExperimentalCapabilitiesGetResponses = {
/**
* Experimental capabilities
*/
200: ExperimentalCapabilities
}
export type ExperimentalCapabilitiesGetResponse =
ExperimentalCapabilitiesGetResponses[keyof ExperimentalCapabilitiesGetResponses]
export type ExperimentalConsoleGetData = {
body?: never
path?: never
+64
View File
@@ -810,6 +810,60 @@
]
}
},
"/experimental/capabilities": {
"get": {
"tags": ["experimental"],
"operationId": "experimental.capabilities.get",
"parameters": [
{
"name": "directory",
"in": "query",
"schema": {
"type": "string"
},
"required": false
},
{
"name": "workspace",
"in": "query",
"schema": {
"type": "string"
},
"required": false
}
],
"responses": {
"200": {
"description": "Experimental capabilities",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ExperimentalCapabilities"
}
}
}
},
"400": {
"description": "Bad request",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/BadRequestError"
}
}
}
}
},
"description": "Get experimental features enabled on the OpenCode server.",
"summary": "Get experimental capabilities",
"x-codeSamples": [
{
"lang": "js",
"source": "import { createOpencodeClient } from \"@opencode-ai/sdk\n\nconst client = createOpencodeClient()\nawait client.experimental.capabilities.get({\n ...\n})"
}
]
}
},
"/experimental/console": {
"get": {
"tags": ["experimental"],
@@ -21024,6 +21078,16 @@
"required": ["id", "name", "source", "env", "options", "models"],
"additionalProperties": false
},
"ExperimentalCapabilities": {
"type": "object",
"properties": {
"backgroundSubagents": {
"type": "boolean"
}
},
"required": ["backgroundSubagents"],
"additionalProperties": false
},
"ConsoleState": {
"type": "object",
"properties": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/server",
"version": "1.17.7",
"version": "1.17.8",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/slack",
"version": "1.17.7",
"version": "1.17.8",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/stats-app",
"version": "1.17.7",
"version": "1.17.8",
"private": true,
"type": "module",
"license": "MIT",
+5 -2
View File
@@ -7,8 +7,11 @@ import "./app.css"
function AppMeta() {
return (
<>
<Title>OpenCode Data</Title>
<Meta name="description" content="OpenCode usage data, market share, token cost, and session cost." />
<Title>AI Model Usage Rankings | OpenCode Data</Title>
<Meta
name="description"
content="Explore OpenCode Go usage across AI models, including token volume, rankings, market share, token pricing, session cost, cache ratio, and geo breakdowns."
/>
</>
)
}
+148 -94
View File
@@ -45,6 +45,7 @@ const statsUnfurlUrl = new URL(statsUnfurlPath, statsCanonicalBaseUrl).toString(
const modelHeaderLinks: readonly HeaderLink[] = [
{ href: "#overview", label: "Overview" },
{ href: "#usage", label: "Usage" },
{ href: "#users", label: "Users" },
{ href: "#efficiency", label: "Efficiency" },
{ href: "#geo-breakdown", label: "Geo Breakdown" },
{ href: "#peers", label: "Peers" },
@@ -120,11 +121,10 @@ export default function StatsModel() {
const [themePreference, setThemePreference] = createSignal<ThemePreference>("system")
const modelName = createMemo(() => catalogEntry()?.name ?? stats()?.model ?? modelParam() ?? "Model")
const labName = createMemo(() => formatCatalogLabName(catalogEntry()?.lab ?? stats()?.provider ?? labParam()))
const modelTitle = createMemo(() => `${modelName()} Data`)
const modelDescription = createMemo(() =>
stats()
? `${modelName()} usage, rank, token mix, cost, geo breakdown, and peer data across OpenCode Go.`
: `${modelName()} model facts, limits, and OpenCode Go usage availability.`,
const modelTitle = createMemo(() => `${modelName()} Usage, Cost & Rank | OpenCode Data`)
const modelDescription = createMemo(
() =>
`View ${modelName()} OpenCode Go usage data, including token volume, weekly rank, token mix, costs, cache ratio, sessions, geo breakdowns, and peer models.`,
)
const modelUrl = createMemo(() =>
new URL(
@@ -176,6 +176,7 @@ export default function StatsModel() {
<ModelHero data={stats() ?? null} catalog={catalogEntry() ?? null} labName={labName()} />
<ModelOverview data={stats() ?? null} />
<ModelUsageSection data={stats()?.usage ?? []} />
<ModelUsersSection data={stats()?.usage ?? []} />
<ModelEfficiencySection data={stats() ?? null} catalog={catalogEntry() ?? null} />
<ModelGeoBreakdownSection data={stats()?.country ?? emptyCountryRecord()} />
<ModelPeersSection data={stats() ?? null} />
@@ -359,14 +360,6 @@ function ModelOverview(props: { data: StatsModelData | null }) {
}
function ModelUsageSection(props: { data: ModelUsagePoint[] }) {
const [activeIndex, setActiveIndex] = createSignal<number>()
const max = createMemo(() => Math.max(0, ...props.data.map((item) => item.tokens)) || 1)
const activePoint = createMemo(() => {
const index = activeIndex()
if (index === undefined) return undefined
return props.data[index]
})
return (
<section id="usage" data-section="model-panel">
<SectionTitle title="Usage" description="Daily OpenCode Go token volume over the recent two-month window." />
@@ -374,92 +367,147 @@ function ModelUsageSection(props: { data: ModelUsagePoint[] }) {
when={props.data.some((item) => item.tokens > 0)}
fallback={<ModelEmptyState title="No usage" description="No usage landed in the current window." />}
>
<div
data-component="model-usage-chart"
data-dense-labels={isModelUsageDense(props.data.length) ? "true" : undefined}
role="img"
aria-label="Daily token usage chart"
style={{ "--model-usage-count": props.data.length } as JSX.CSSProperties}
onPointerLeave={(event) => {
if (event.pointerType === "touch") return
setActiveIndex(undefined)
}}
>
<div data-slot="model-usage-axis" aria-hidden="true">
<For each={props.data}>
{(point, index) => (
<div
data-active={activeIndex() === index() ? "true" : undefined}
data-label-hidden={isModelUsageLabelHidden(index(), props.data.length) ? "true" : undefined}
>
<span data-slot="model-usage-label">
<span data-slot="model-usage-total">{formatTokens(point.tokens)}</span>
<span data-slot="model-usage-date">{point.date}</span>
</span>
</div>
)}
</For>
</div>
<div data-slot="model-usage-bars">
<For each={props.data}>
{(point, index) => (
<div
data-slot="model-usage-column"
role="button"
tabIndex={0}
aria-label={`${point.date} ${formatTokens(point.tokens)} tokens`}
data-active={activeIndex() === index() ? "true" : undefined}
data-muted={activeIndex() !== undefined && activeIndex() !== index() ? "true" : undefined}
onPointerDown={(event) => {
if (event.pointerType !== "touch") return
setActiveIndex(index())
}}
onPointerEnter={() => setActiveIndex(index())}
onPointerMove={(event) => {
if (event.pointerType === "touch") return
setActiveIndex(index())
}}
onClick={() => setActiveIndex(index())}
onFocus={() => setActiveIndex(index())}
onBlur={() => setActiveIndex(undefined)}
onKeyDown={(event) => {
if (event.key !== "Enter" && event.key !== " ") return
event.preventDefault()
setActiveIndex(index())
}}
>
<div
data-slot="model-usage-bar"
style={{ "--model-usage-fill": `${modelUsageHeight(point.tokens, max())}%` } as JSX.CSSProperties}
/>
<Show when={activeIndex() === index() && activePoint()}>
{(active) => (
<div
data-component="chart-tooltip"
data-placement={index() > props.data.length * 0.62 ? "left" : "right"}
>
<strong>{active().date}</strong>
<span>{formatTokens(active().tokens)} tokens</span>
<div data-slot="tooltip-divider" />
<p>
<span data-slot="tooltip-label">
<i /> Daily tokens
</span>
<b>{formatTokens(active().tokens)}</b>
</p>
</div>
)}
</Show>
</div>
)}
</For>
</div>
</div>
<ModelColumnChart data={props.data} metric="tokens" ariaLabel="Daily token usage chart" />
</Show>
</section>
)
}
function ModelUsersSection(props: { data: ModelUsagePoint[] }) {
return (
<section id="users" data-section="model-panel">
<SectionTitle
title="Unique Users"
description="Daily unique OpenCode Go users over the recent two-month window."
/>
<Show
when={props.data.some((item) => item.users > 0)}
fallback={
<ModelEmptyState title="No user data" description="No user-bearing rows landed in the current window." />
}
>
<ModelColumnChart data={props.data} metric="users" ariaLabel="Daily unique user chart" />
</Show>
</section>
)
}
function ModelColumnChart(props: { data: ModelUsagePoint[]; metric: "tokens" | "users"; ariaLabel: string }) {
const [activeIndex, setActiveIndex] = createSignal<number>()
const max = createMemo(() => Math.max(0, ...props.data.map((item) => modelUsageMetricValue(item, props.metric))) || 1)
const activePoint = createMemo(() => {
const index = activeIndex()
if (index === undefined) return undefined
return props.data[index]
})
return (
<div
data-component="model-usage-chart"
data-metric={props.metric}
data-dense-labels={isModelUsageDense(props.data.length) ? "true" : undefined}
role="img"
aria-label={props.ariaLabel}
style={{ "--model-usage-count": props.data.length } as JSX.CSSProperties}
onPointerLeave={(event) => {
if (event.pointerType === "touch") return
setActiveIndex(undefined)
}}
>
<div data-slot="model-usage-axis" aria-hidden="true">
<For each={props.data}>
{(point, index) => (
<div
data-active={activeIndex() === index() ? "true" : undefined}
data-label-hidden={isModelUsageLabelHidden(index(), props.data.length) ? "true" : undefined}
>
<span data-slot="model-usage-label">
<span data-slot="model-usage-total">{formatModelUsageValue(point, props.metric)}</span>
<span data-slot="model-usage-date">{point.date}</span>
</span>
</div>
)}
</For>
</div>
<div data-slot="model-usage-bars">
<For each={props.data}>
{(point, index) => (
<div
data-slot="model-usage-column"
role="button"
tabIndex={0}
aria-label={`${point.date} ${formatModelUsageValue(point, props.metric)} ${modelUsageLabel(props.metric)}`}
data-active={activeIndex() === index() ? "true" : undefined}
data-muted={activeIndex() !== undefined && activeIndex() !== index() ? "true" : undefined}
onPointerDown={(event) => {
if (event.pointerType !== "touch") return
setActiveIndex(index())
}}
onPointerEnter={() => setActiveIndex(index())}
onPointerMove={(event) => {
if (event.pointerType === "touch") return
setActiveIndex(index())
}}
onClick={() => setActiveIndex(index())}
onFocus={() => setActiveIndex(index())}
onBlur={() => setActiveIndex(undefined)}
onKeyDown={(event) => {
if (event.key !== "Enter" && event.key !== " ") return
event.preventDefault()
setActiveIndex(index())
}}
>
<div
data-slot="model-usage-bar"
style={
{
"--model-usage-fill": `${modelUsageHeight(modelUsageMetricValue(point, props.metric), max())}%`,
} as JSX.CSSProperties
}
/>
<Show when={activeIndex() === index() && activePoint()}>
{(active) => (
<div
data-component="chart-tooltip"
data-placement={index() > props.data.length * 0.62 ? "left" : "right"}
>
<strong>{active().date}</strong>
<span>
{formatModelUsageValue(active(), props.metric)} {modelUsageLabel(props.metric)}
</span>
<div data-slot="tooltip-divider" />
<p>
<span data-slot="tooltip-label">
<i /> Daily {modelUsageLabel(props.metric)}
</span>
<b>{formatModelUsageValue(active(), props.metric)}</b>
</p>
</div>
)}
</Show>
</div>
)}
</For>
</div>
</div>
)
}
function modelUsageMetricValue(point: ModelUsagePoint, metric: "tokens" | "users") {
if (metric === "users") return point.users
return point.tokens
}
function formatModelUsageValue(point: ModelUsagePoint, metric: "tokens" | "users") {
if (metric === "users") return formatUsers(point.users)
return formatTokens(point.tokens)
}
function modelUsageLabel(metric: "tokens" | "users") {
if (metric === "users") return "users"
return "tokens"
}
function ModelEfficiencySection(props: { data: StatsModelData | null; catalog: ModelCatalogEntry | null }) {
return (
<section id="efficiency" data-section="model-panel">
@@ -835,6 +883,12 @@ function formatInteger(value: number) {
return new Intl.NumberFormat("en").format(value)
}
function formatUsers(value: number) {
if (value >= 1_000_000) return `${trimNumber(value / 1_000_000, value >= 10_000_000 ? 0 : 1)}M`
if (value >= 1_000) return `${trimNumber(value / 1_000, value >= 10_000 ? 0 : 1)}K`
return formatInteger(Math.round(value))
}
function formatPercent(value: number) {
return `${value.toFixed(value > 0 && value < 10 ? 1 : 0)}%`
}
@@ -69,10 +69,10 @@ export default function StatsLab() {
const githubStars = createAsync(() => getGitHubStars())
const [themePreference, setThemePreference] = createSignal<ThemePreference>("system")
const labName = createMemo(() => lab()?.name ?? formatCatalogLabName(labParam()))
const labTitle = createMemo(() => `${labName()} Models`)
const labTitle = createMemo(() => `${labName()} AI Model Usage & Rankings | OpenCode Data`)
const labDescription = createMemo(
() =>
`Explore ${labName()} models used in OpenCode, with recent token usage, context windows, release dates, and model-specific data.`,
`Compare ${labName()} models used in OpenCode Go, including token usage, model rankings, context windows, release dates, costs, and model-specific data.`,
)
const labUrl = createMemo(() => new URL(lab()?.id ?? labParam(), statsCanonicalBaseUrl).toString())
const updateThemePreference = (preference: ThemePreference) => {
+63 -21
View File
@@ -1546,7 +1546,7 @@
color: var(--stats-text);
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] {
[data-page="stats"] :is([data-section="top-models"], [data-section="unique-users"]) [data-component="chart-tooltip"] {
top: 110px;
box-sizing: border-box;
display: flex;
@@ -1564,40 +1564,59 @@
color: var(--stats-text);
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"][data-placement="right"] {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"][data-placement="right"] {
right: auto;
left: calc(100% + 8px);
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"][data-placement="left"] {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"][data-placement="left"] {
right: calc(100% + 8px);
left: auto;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] strong,
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] > span {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
strong,
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
> span {
display: block;
font-size: 11px;
line-height: 12px;
white-space: nowrap;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] strong {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
strong {
padding: 8px 8px 0;
font-weight: 500;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] > span {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
> span {
padding: 4px 8px 8px;
color: var(--stats-muted);
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] [data-slot="tooltip-divider"] {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
[data-slot="tooltip-divider"] {
height: 0.5px;
margin: 0;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] p {
[data-page="stats"] :is([data-section="top-models"], [data-section="unique-users"]) [data-component="chart-tooltip"] p {
grid-template-columns: minmax(0, 1fr) auto;
gap: 4px;
height: 16px;
@@ -1608,36 +1627,50 @@
line-height: 12px;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] p[data-muted="true"] {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
p[data-muted="true"] {
opacity: 0.46;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] [data-slot="tooltip-divider"] + p {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
[data-slot="tooltip-divider"]
+ p {
margin-top: 8px;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] p:last-child {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
p:last-child {
margin-bottom: 8px;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] [data-slot="tooltip-label"] {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
[data-slot="tooltip-label"] {
grid-template-columns: 16px minmax(0, 1fr);
gap: 4px;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] i {
[data-page="stats"] :is([data-section="top-models"], [data-section="unique-users"]) [data-component="chart-tooltip"] i {
width: 6px;
height: 6px;
justify-self: center;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] b {
[data-page="stats"] :is([data-section="top-models"], [data-section="unique-users"]) [data-component="chart-tooltip"] b {
font-weight: 500;
}
[data-page="stats"]
:is(
[data-section="leaderboard"],
[data-section="unique-users"],
[data-section="market-share"],
[data-section="geo-breakdown"],
[data-section="token-cost"],
@@ -3264,10 +3297,12 @@
background: #242424f2;
}
[data-page="stats"][data-theme="dark"] [data-section="top-models"] [data-component="chart-tooltip"],
[data-page="stats"][data-theme="dark"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"],
:root[data-stats-theme="dark"]
[data-page="stats"]:not([data-theme="light"])
[data-section="top-models"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"] {
background: #242424f2;
box-shadow:
@@ -3276,10 +3311,13 @@
0 4px 8px #00000052;
}
[data-page="stats"][data-theme="dark"] [data-section="top-models"] [data-component="chart-tooltip"] > span,
[data-page="stats"][data-theme="dark"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
> span,
:root[data-stats-theme="dark"]
[data-page="stats"]:not([data-theme="light"])
[data-section="top-models"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"]
> span {
color: var(--stats-faint);
@@ -3544,6 +3582,7 @@
@media (max-width: 74rem) {
[data-page="stats"] [data-section="top-models"],
[data-page="stats"] [data-section="leaderboard"],
[data-page="stats"] [data-section="unique-users"],
[data-page="stats"] [data-section="market-share"],
[data-page="stats"] [data-section="geo-breakdown"],
[data-page="stats"] [data-section="token-cost"],
@@ -3703,6 +3742,7 @@
@media (max-width: 47.999rem) {
[data-page="stats"] [data-section="top-models"],
[data-page="stats"] [data-section="leaderboard"],
[data-page="stats"] [data-section="unique-users"],
[data-page="stats"] [data-section="market-share"],
[data-page="stats"] [data-section="geo-breakdown"],
[data-page="stats"] [data-section="token-cost"],
@@ -4011,7 +4051,7 @@
display: block;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"] {
[data-page="stats"] :is([data-section="top-models"], [data-section="unique-users"]) [data-component="chart-tooltip"] {
position: fixed;
top: auto;
right: 12px;
@@ -4025,7 +4065,9 @@
transform: none;
}
[data-page="stats"] [data-section="top-models"] [data-component="chart-tooltip"][data-placement] {
[data-page="stats"]
:is([data-section="top-models"], [data-section="unique-users"])
[data-component="chart-tooltip"][data-placement] {
right: 12px;
left: 12px;
}

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