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20 Commits

Author SHA1 Message Date
opencode-agent[bot] 0893ea425f Apply PR #38403: fix(ui): standardize v2 tooltip delay 2026-08-03 11:12:57 +00:00
opencode-agent[bot] 9eddfb896c Apply PR #37927: fix(app): navigate tabs by selection history 2026-08-03 11:11:19 +00:00
opencode-agent[bot] b634437f4f Apply PR #29948: fix(tui): keep command palette available in questions 2026-08-03 11:09:19 +00:00
opencode-agent[bot] 89130db6b0 chore: update nix node_modules hashes 2026-08-03 10:07:49 +00:00
Frank 9465a6c97d Merge branch 'dev' of github.com:anomalyco/opencode into dev 2026-08-03 05:54:55 -04:00
Frank 53fd02970d fix slow queries 2026-08-03 05:54:41 -04:00
Luke Parker 6ff0adef22 perf(app): fix composer lag via buffered blob draft storage (#40207) 2026-08-03 19:49:08 +10:00
opencode-agent[bot] 3307f99f1f fix(ci): reuse imported macOS keychain (#40221)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
2026-08-03 19:48:32 +10:00
Frank 8de7a3c739 fix slow queries 2026-08-03 05:41:46 -04:00
opencode-agent[bot] 28d0637406 chore: generate 2026-08-03 08:48:38 +00:00
Frank ef7f712867 fix slow queries 2026-08-03 04:47:10 -04:00
Joshua 3016830e25 fix(app): search every known project in the open project dialog (#40202) 2026-08-03 14:54:00 +08:00
Jack e9e7472456 docs(go): add Qwen3.8 Max (#40228) 2026-08-03 14:48:57 +08:00
Brendan Allan 9f9fbf815c fix(app): clear stale timeline errors (#39465) 2026-08-03 14:18:52 +08:00
opencode-agent[bot] c88facb2cc chore: generate 2026-08-03 06:09:39 +00:00
twinkle d4b85f8d83 fix(app): skip legacy config reads for v2 (#40211) 2026-08-03 14:08:22 +08:00
Luke Parker f77f5a343e fix(ui): standardize tooltip delay 2026-07-27 13:24:01 +08:00
LukeParkerDev 985ee1e2ec fix(app): navigate tabs by selection history 2026-07-20 23:15:53 +10:00
Test 83bee1e776 Merge remote-tracking branch 'origin/dev' into beta-sync-29948
# Conflicts:
#	packages/tui/test/keymap.test.tsx
2026-06-25 07:02:20 +00:00
opencode-agent[bot] 124714ca3a fix(tui): keep command palette available in questions 2026-05-29 23:19:01 +00:00
83 changed files with 4269 additions and 261 deletions
+1 -2
View File
@@ -339,8 +339,7 @@ jobs:
env:
OPENCODE_CHANNEL: ${{ (github.ref_name == 'beta' && 'beta') || 'prod' }}
GH_TOKEN: ${{ steps.committer.outputs.token }}
CSC_LINK: ${{ secrets.APPLE_CERTIFICATE }}
CSC_KEY_PASSWORD: ${{ secrets.APPLE_CERTIFICATE_PASSWORD }}
CSC_KEYCHAIN: build.keychain
APPLE_API_KEY: ${{ runner.temp }}/apple-api-key.p8
APPLE_API_KEY_ID: ${{ secrets.APPLE_API_KEY }}
APPLE_API_ISSUER: ${{ secrets.APPLE_API_ISSUER }}
+1
View File
@@ -384,6 +384,7 @@
"version": "1.18.11",
"dependencies": {
"@zip.js/zip.js": "2.7.62",
"drizzle-orm": "catalog:",
"effect": "catalog:",
"electron-context-menu": "4.1.2",
"electron-log": "^5",
+4 -4
View File
@@ -1,8 +1,8 @@
{
"nodeModules": {
"x86_64-linux": "sha256-SiJd6uXrL/MqqFGN/uUcHh0Wzdlafnpx++VZa5gUCoE=",
"aarch64-linux": "sha256-pKcT34NYIHVasraRTx0ASTzyuFuIzBTxXg6+KSKvTps=",
"aarch64-darwin": "sha256-hzrym0KpiyYAv80eT/DjcSIJWYBUq4QDgDf6Wtot7jU=",
"x86_64-darwin": "sha256-Or5dSTdajUwij0XpovXSXjJ0LmRUcpcW5TJ4q4B0k0A="
"x86_64-linux": "sha256-a7NyYa9vRUEqDfZNDPXXmFO58RDEgioyuGSl5CPBvxo=",
"aarch64-linux": "sha256-l4OJtSEllHvRhktjcaJYwkXBSaJvsIoyoLusbZfYMcM=",
"aarch64-darwin": "sha256-IIl0BQGs1/HLFh0auiQjiwfSQ2nfHcK2G2BAphYW59c=",
"x86_64-darwin": "sha256-vVeuPyd4ZIRYrHouphTuEb4rkRZLKKTAHe840jNh9rU="
}
}
@@ -0,0 +1,60 @@
import { expect, test } from "@playwright/test"
import type { Page } from "@playwright/test"
import { fixture, pageMessages } from "../smoke/session-timeline.fixture"
import { mockOpenCodeServer } from "../utils/mock-server"
import { expectAppVisible } from "../utils/waits"
const NAMES = ["alpha-service", "bravo-web", "charlie-api", "delta-tools", "echo-infra", "foxtrot-docs"]
const worktrees = NAMES.map((name) => `/opencode-demo/${name}`)
// The sixth project sits outside the five-item recent cap, so it is only reachable if the
// dialog hands every recent project to the list filter instead of a pre-truncated slice.
const OUTSIDE_CAP = "foxtrot-docs"
// Dialog rows carry data-directory-path; the sidebar project list does not, so this
// scopes assertions to the picker instead of matching the sidebar entry of the same name.
const rows = (page: Page) => page.locator("[data-directory-path]")
const row = (page: Page, name: string) => page.locator(`[data-directory-path*="${name}"]`)
async function openProjectDialog(page: Page) {
await mockOpenCodeServer(page, {
sessions: fixture.sessions,
provider: fixture.provider,
directory: fixture.directory,
project: fixture.project,
pageMessages,
fileList: () => [],
findFiles: () => [],
})
await page.addInitScript((dirs) => {
localStorage.setItem(
"opencode.global.dat:server",
JSON.stringify({
projects: { local: dirs.map((worktree: string) => ({ worktree, expanded: false })) },
lastProject: {},
}),
)
}, worktrees)
await page.goto("/")
const add = page.getByRole("button", { name: "Add project" }).first()
await expectAppVisible(add)
await add.click()
await expect(rows(page)).toHaveCount(5)
return page.getByRole("textbox").last()
}
test("searches every recent project, not just the five most recent", async ({ page }) => {
const search = await openProjectDialog(page)
await expect(row(page, OUTSIDE_CAP)).toHaveCount(0)
await search.fill("foxtrot")
await expect(row(page, OUTSIDE_CAP)).toHaveCount(1)
})
test("still caps the idle recent list at five projects", async ({ page }) => {
await openProjectDialog(page)
await expect(row(page, NAMES[4])).toHaveCount(1)
await expect(row(page, OUTSIDE_CAP)).toHaveCount(0)
})
@@ -18,6 +18,8 @@ interface DialogSelectDirectoryProps {
server: ServerConnection.Any
}
const RECENT_PROJECT_LIMIT = 5
type Row = {
absolute: string
search: string
@@ -102,7 +104,6 @@ export function DialogSelectDirectory(props: DialogSelectDirectoryProps) {
return projects
.map((project, index) => ({ project, at: byProject.get(project.worktree) ?? 0, index }))
.sort((a, b) => b.at - a.at || a.index - b.index)
.slice(0, 5)
.map(({ project }) => {
const row = toRow(project.worktree, home(), "recent")
const name = project.name || getFilename(project.worktree)
@@ -116,7 +117,10 @@ export function DialogSelectDirectory(props: DialogSelectDirectoryProps) {
const items = async (value: string) => {
const results = await directories(value)
const directoryRows = results.map((absolute) => toRow(absolute, home(), "folders"))
return uniqueRows([...recentProjects(), ...directoryRows])
// Cap the idle list only. Once a query narrows the results, every project stays searchable.
const recent = recentProjects()
const visible = value ? recent : recent.slice(0, RECENT_PROJECT_LIMIT)
return uniqueRows([...visible, ...directoryRows])
}
function resolve(absolute: string) {
@@ -88,7 +88,7 @@ export const DialogSelectModelUnpaidV2: Component<{ model?: ModelState }> = (pro
class="w-full"
placement="right-start"
gutter={6}
openDelay={0}
delay="intent"
contentStyle={{ "font-family": "var(--v2-font-family-sans)" }}
value={
<ModelTooltip
@@ -460,7 +460,7 @@ function ModelSelectorPopoverV2View(props: {
class="w-full"
placement="right-start"
gutter={6}
openDelay={0}
delay="intent"
value={
<ModelTooltip
model={item}
@@ -344,7 +344,7 @@ export function usePromptInputV2Controller(props: PromptInputV2ControllerProps):
if (item?.commentID) comments.remove(item.path, item.commentID)
},
openAttachment: (attachment) =>
dialog.show(() => <ImagePreview src={attachment.dataUrl} alt={attachment.filename} />),
dialog.show(() => <ImagePreview src={attachment.blob.url} alt={attachment.filename} />),
openContext(key) {
const item = controller.contextItem(key)
if (item) openComment(item, props, sync, layout, files, comments)
@@ -377,6 +377,7 @@ export function usePromptInputV2Controller(props: PromptInputV2ControllerProps):
}),
readClipboardImage: platform.readClipboardImage,
getPathForFile: platform.getPathForFile,
store: platform.draftStore?.putBlob,
},
view: {
placeholder: designPlaceholder,
+1 -1
View File
@@ -1489,7 +1489,7 @@ export const PromptInput: Component<PromptInputProps> = (props) => {
<PromptImageAttachments
attachments={imageAttachments()}
onOpen={(attachment) =>
dialog.show(() => <ImagePreview src={attachment.dataUrl} alt={attachment.filename} />)
dialog.show(() => <ImagePreview src={attachment.blob.url} alt={attachment.filename} />)
}
onRemove={removeAttachment}
removeLabel={language.t("prompt.attachment.remove")}
@@ -3,28 +3,13 @@ import { makeEventListener } from "@solid-primitives/event-listener"
import { showToast } from "@/utils/toast"
import { type ContentPart, type ImageAttachmentPart, type usePrompt } from "@/context/prompt"
import { useLanguage } from "@/context/language"
import { usePlatform } from "@/context/platform"
import { uuid } from "@/utils/uuid"
import { getCursorPosition } from "./editor-dom"
import { createBlobReference, type DraftStore } from "@/utils/draft-store"
import { attachmentMime } from "./files"
import { normalizePaste, pasteMode } from "./paste"
function dataUrl(file: File, mime: string) {
return new Promise<string>((resolve) => {
const reader = new FileReader()
reader.addEventListener("error", () => resolve(""))
reader.addEventListener("load", () => {
const value = typeof reader.result === "string" ? reader.result : ""
const idx = value.indexOf(",")
if (idx === -1) {
resolve(value)
return
}
resolve(`data:${mime};base64,${value.slice(idx + 1)}`)
})
reader.readAsDataURL(file)
})
}
type PromptTarget = Pick<ReturnType<ReturnType<typeof usePrompt>["capture"]>, "current" | "cursor" | "set">
type AttachmentTarget = { prompt: PromptTarget; cursor: number | undefined }
@@ -36,6 +21,7 @@ type PromptAttachmentsCoreInput = {
warn?: () => void
readClipboardImage?: () => Promise<File | null>
getPathForFile?: (file: File) => string
draftStore?: DraftStore
}
export type PromptAttachmentsInput = {
@@ -65,16 +51,13 @@ export function createPromptAttachmentsCore(input: PromptAttachmentsCoreInput) {
return false
}
const url = await dataUrl(file, mime)
if (!url) return false
const attachment: ImageAttachmentPart = {
type: "image",
id: uuid(),
filename: file.name,
sourcePath: input.getPathForFile?.(file) || undefined,
mime,
dataUrl: url,
blob: input.draftStore ? await input.draftStore.putBlob(file) : await createBlobReference(file),
}
target.prompt.set([...target.prompt.current(), attachment], target.cursor)
return true
@@ -166,8 +149,10 @@ export function createPromptAttachmentsCore(input: PromptAttachmentsCoreInput) {
export function createPromptAttachments(input: PromptAttachmentsInput) {
const language = useLanguage()
const platform = usePlatform()
const attachments = createPromptAttachmentsCore({
...input,
draftStore: platform.draftStore,
capture: input.prompt.capture,
warn: () => {
showToast({
@@ -22,7 +22,7 @@ type ContextFile = {
type BuildRequestPartsInput = {
prompt: Prompt
context: ContextFile[]
images: ImageAttachmentPart[]
images: (Omit<ImageAttachmentPart, "blob"> & { dataUrl: string })[]
text: string
messageID: string
sessionID: string
@@ -47,7 +47,7 @@ export const PromptContextItems: Component<ContextItemsProps> = (props) => {
</span>
}
placement="top"
openDelay={800}
{...(!props.newLayoutDesigns ? { openDelay: 800 } : {})}
>
<div
classList={{
@@ -1,7 +1,13 @@
import { createStore, type SetStoreFunction, type Store } from "solid-js/store"
import type { Prompt } from "@/context/prompt"
import { Persist, persisted } from "@/utils/persist"
import { prependHistoryEntry, type PromptHistoryComment, type PromptHistoryStoredEntry } from "./history"
import {
clonePromptHistoryComments,
clonePromptParts,
prependHistoryEntry,
type PromptHistoryComment,
type PromptHistoryStoredEntry,
} from "./history"
export type PromptInputHistory = {
entries: (mode: "normal" | "shell") => PromptHistoryStoredEntry[]
@@ -35,13 +41,23 @@ export function createPromptInputHistory(): PromptInputHistory {
}
export function createPersistedPromptInputHistory() {
const [normal, setNormal] = persisted(
Persist.global("prompt-history", ["prompt-history.v1"]),
const [normal, setNormal, normalInit] = persisted(
Persist.prompt(Persist.global("prompt-history", ["prompt-history.v1"])),
createStore<PromptHistoryState>({ entries: [] }),
)
const [shell, setShell] = persisted(
Persist.global("prompt-history-shell", ["prompt-history-shell.v1"]),
const [shell, setShell, shellInit] = persisted(
Persist.prompt(Persist.global("prompt-history-shell", ["prompt-history-shell.v1"])),
createStore<PromptHistoryState>({ entries: [] }),
)
return createPromptInputHistoryStore(normal, setNormal, shell, setShell)
const history = createPromptInputHistoryStore(normal, setNormal, shell, setShell)
return {
...history,
add(prompt: Prompt, mode: "normal" | "shell", comments: PromptHistoryComment[]) {
const ready = mode === "shell" ? shellInit : normalInit
if (!(ready instanceof Promise)) return history.add(prompt, mode, comments)
const saved = clonePromptParts(prompt)
const metadata = clonePromptHistoryComments(comments)
void ready.then(() => history.add(saved, mode, metadata))
},
}
}
@@ -112,7 +112,7 @@ describe("prompt-input history", () => {
end: 12,
selection: { startLine: 1, startChar: 1, endLine: 2, endChar: 1 },
},
{ type: "image", id: "1", filename: "img.png", mime: "image/png", dataUrl: "data:image/png;base64,abc" },
{ type: "image", id: "1", filename: "img.png", mime: "image/png", blob: { id: "blob", url: "blob:test" } },
]
const copy = clonePromptParts(original)
expect(copy).not.toBe(original)
@@ -52,12 +52,7 @@ export const PromptImageAttachments: Component<PromptImageAttachmentsProps> = (p
<For each={props.comments ?? []}>
{(item) => (
<div class="relative group shrink-0">
<TooltipV2
value={item.comment}
placement="top"
openDelay={800}
contentClass="max-w-[300px] break-words"
>
<TooltipV2 value={item.comment} placement="top" contentClass="max-w-[300px] break-words">
<CommentCardV2
comment={item.comment ?? ""}
path={item.path}
@@ -100,7 +95,7 @@ export const PromptImageAttachments: Component<PromptImageAttachmentsProps> = (p
}
>
<img
src={attachment.dataUrl}
src={attachment.blob.url}
alt={attachment.filename}
class={props.newLayoutDesigns ? imageClassV2 : imageClass}
onClick={() => props.onOpen(attachment)}
@@ -22,6 +22,7 @@ import { ScopedKey } from "@/utils/server-scope"
import { createPromptSubmissionState } from "./submission-state"
import { normalizeSessionInfo } from "@/utils/session"
import { Event } from "@opencode-ai/schema/event"
import { blobDataUrl } from "@/utils/draft-store"
type PendingPrompt = {
abort: AbortController
@@ -95,10 +96,12 @@ export async function sendFollowupDraft(input: FollowupSendInput) {
providerID: input.draft.model.providerID,
variant: input.draft.variant,
},
files: images.map((attachment) => ({
uri: attachment.dataUrl,
name: attachment.filename,
})),
files: await Promise.all(
images.map(async (attachment) => ({
uri: await blobDataUrl(attachment.blob, attachment.mime),
name: attachment.filename,
})),
),
})
return true
} catch (err) {
@@ -108,10 +111,16 @@ export async function sendFollowupDraft(input: FollowupSendInput) {
}
const messageID = input.messageID ?? Identifier.ascending("message")
const encodedImages = await Promise.all(
images.map(async (attachment) => ({
...attachment,
dataUrl: await blobDataUrl(attachment.blob, attachment.mime),
})),
)
const { requestParts, optimisticParts } = buildRequestParts({
prompt: input.draft.prompt,
context: input.draft.context,
images,
images: encodedImages,
text,
sessionID: input.draft.sessionID,
messageID,
@@ -516,10 +525,12 @@ export function createPromptSubmit(input: PromptSubmitInput) {
arguments: args.join(" "),
agent,
model: { id: model.modelID, providerID: model.providerID, variant },
files: images.map((attachment) => ({
uri: attachment.dataUrl,
name: attachment.filename,
})),
files: await Promise.all(
images.map(async (attachment) => ({
uri: await blobDataUrl(attachment.blob, attachment.mime),
name: attachment.filename,
})),
),
})
.catch((err) => {
serverSync().session.set("session_status", session.id, { type: "idle" })
+16
View File
@@ -338,6 +338,22 @@ export function Titlebar(props: { update?: TitlebarUpdate; debugTools?: { visibl
keybind: "mod+shift+t",
onSelect: () => tabsStoreActions.reopenClosedTab(),
},
{
id: `tab.prev`,
category: "tab",
title: "",
keybind: `mod+option+ArrowLeft,ctrl+shift+tab`,
hidden: true,
onSelect: tabs.previous,
},
{
id: `tab.next`,
category: "tab",
title: "",
keybind: `mod+option+ArrowRight,ctrl+tab`,
hidden: true,
onSelect: tabs.next,
},
].filter((v) => v !== undefined)
})
@@ -8,6 +8,7 @@ import {
bootstrapDirectory,
loadAgentsQuery,
loadCommands,
loadGlobalConfigQuery,
loadPathQuery,
loadProjectsQuery,
loadProvidersQuery,
@@ -76,6 +77,7 @@ function directoryState() {
describe("bootstrapDirectory", () => {
test("uses legacy MCP endpoints while refreshing a v1 directory", async () => {
const legacyConfigReads: string[] = []
const mcpReads: string[] = []
const [store, setStore] = directoryState()
@@ -91,7 +93,12 @@ describe("bootstrapDirectory", () => {
},
sdk: {
app: { agents: async () => ({ data: [{ name: "build", mode: "primary" }] }) },
config: { get: async () => ({ data: {} }) },
config: {
get: async () => {
legacyConfigReads.push("directory")
return { data: {} }
},
},
session: { status: async () => ({ data: {} }) },
vcs: { get: async () => ({ data: undefined }) },
command: {
@@ -134,8 +141,88 @@ describe("bootstrapDirectory", () => {
await new Promise((resolve) => setTimeout(resolve, 80))
expect(store.status).toBe("complete")
expect(legacyConfigReads).toEqual(["directory"])
expect(mcpReads.sort()).toEqual(["command", "resource", "status"])
})
test("skips legacy config while refreshing a v2 directory", async () => {
const [store, setStore] = directoryState()
await bootstrapDirectory({
directory: "/project",
scope: ServerScope.local,
mcp: false,
global: {
config: {} satisfies Config,
path: { state: "", config: "", worktree: "/project", directory: "/project", home: "/home" },
project: [{ id: "project", worktree: "/project" } as Project],
provider,
},
sdk: {
config: {
get: async () => {
throw new Error("legacy directory config should not be called")
},
},
} as unknown as OpencodeClient,
api,
store,
setStore,
vcsCache: { setStore() {} } as unknown as VcsCache,
loadSessions() {},
translate: (key) => key,
queryClient: new QueryClient(),
protocol: Promise.resolve("v2"),
})
expect(store.status).toBe("partial")
await new Promise((resolve) => setTimeout(resolve, 80))
expect(store.status).toBe("complete")
})
})
describe("config queries", () => {
test("skips legacy global config for v2 servers", async () => {
const sdk = {
global: {
config: {
get: async () => {
throw new Error("legacy global config should not be called")
},
},
},
} as unknown as OpencodeClient
const result = await new QueryClient().fetchQuery(
loadGlobalConfigQuery(ServerScope.local, sdk, Promise.resolve("v2")),
)
expect(result).toEqual({})
})
test("loads legacy global config for v1 servers", async () => {
const calls: string[] = []
const config = { shell: "zsh" } satisfies Config
const sdk = {
global: {
config: {
get: async () => {
calls.push("global")
return { data: config }
},
},
},
} as unknown as OpencodeClient
const result = await new QueryClient().fetchQuery(
loadGlobalConfigQuery(ServerScope.local, sdk, Promise.resolve("v1")),
)
expect(result).toEqual(config)
expect(calls).toEqual(["global"])
})
})
describe("query keys", () => {
@@ -105,10 +105,13 @@ function showErrors(input: {
})
}
export const loadGlobalConfigQuery = (scope: ServerScope, sdk: OpencodeClient) =>
export const loadGlobalConfigQuery = (scope: ServerScope, sdk: OpencodeClient, protocol?: Promise<ServerProtocol>) =>
queryOptions({
queryKey: [scope, "config"],
queryFn: () => retry(() => sdk.global.config.get().then((x) => x.data!)),
queryFn: async () => {
if ((await protocol) !== "v1") return {}
return retry(() => sdk.global.config.get().then((x) => x.data!))
},
})
type ProjectApi = {
@@ -149,7 +152,7 @@ export async function bootstrapGlobal(input: {
queryClient: QueryClient
}) {
const slow = [
() => input.queryClient.fetchQuery(loadGlobalConfigQuery(input.scope, input.serverSDK)),
() => input.queryClient.fetchQuery(loadGlobalConfigQuery(input.scope, input.serverSDK, input.protocol)),
() =>
input.queryClient.fetchQuery(
loadProvidersQuery(input.scope, null, input.serverAPI, input.serverSDK, input.protocol),
@@ -376,7 +379,10 @@ export async function bootstrapDirectory(input: {
.ensureQueryData(loadAgentsQuery(input.scope, input.directory, input.api.agent, input.sdk, input.protocol))
.then((data) => input.setStore("agent", data)),
() =>
retry(() => input.sdk.config.get().then((x) => input.setStore("config", reconcile(x.data!, { merge: false })))),
retry(async () => {
if ((await input.protocol) !== "v1") return
return input.sdk.config.get().then((x) => input.setStore("config", reconcile(x.data!, { merge: false })))
}),
() =>
retry(() =>
(async () => {
+4
View File
@@ -5,6 +5,7 @@ import type { DesktopMenuAction } from "../desktop-menu"
import { ServerConnection } from "./server"
import type { WslServersPlatform } from "../wsl/types"
import type { UpdaterPlatform } from "../updater"
import type { DraftStore } from "@/utils/draft-store"
type PickerPaths = string | string[] | null
type OpenDirectoryPickerOptions = { title?: string; multiple?: boolean }
@@ -64,6 +65,9 @@ type PlatformBase = {
/** Storage mechanism, defaults to localStorage */
storage?: (name?: string) => SyncStorage | AsyncStorage
/** Prompt drafts, history, and their blobs. */
draftStore?: DraftStore
/** Stable platform window identity for window-scoped persistence */
windowID?: string
+5 -4
View File
@@ -5,6 +5,7 @@ import { createStore, type SetStoreFunction } from "solid-js/store"
import type { FileSelection } from "@/context/file"
import { Persist, persisted } from "@/utils/persist"
import type { ServerScope } from "@/utils/server-scope"
import type { BlobReference } from "@/utils/draft-store"
interface PartBase {
content: string
@@ -37,7 +38,7 @@ export interface ImageAttachmentPart {
filename: string
sourcePath?: string
mime: string
dataUrl: string
blob: BlobReference
}
export type ContentPart = TextPart | FileAttachmentPart | AgentPart | ImageAttachmentPart
@@ -168,9 +169,9 @@ function createPromptActions(setStore: SetStoreFunction<PromptStore>) {
}
function promptTarget(serverScope: ServerScope, scope: PromptScope) {
if ("draftID" in scope) return Persist.draft(scope.draftID, "prompt")
if ("draftID" in scope) return Persist.prompt(Persist.draft(scope.draftID, "prompt"))
const legacy = `${scope.dir}/prompt${scope.id ? "/" + scope.id : ""}.v2`
return Persist.serverScoped(serverScope, scope.dir, scope.id, "prompt", [legacy])
return Persist.prompt(Persist.serverScoped(serverScope, scope.dir, scope.id, "prompt", [legacy]))
}
function promptStore(initial?: InitialPrompt): PromptStore {
@@ -245,7 +246,7 @@ export function createPromptSession(serverScope: ServerScope, scope: PromptScope
}
export function createDraftPromptSession(draftID: string, initial?: InitialPrompt) {
return createPersistedPrompt(Persist.draft(draftID, "prompt"), initial)
return createPersistedPrompt(Persist.prompt(Persist.draft(draftID, "prompt")), initial)
}
export type PromptSession = ReturnType<typeof createPromptSession>
+1 -1
View File
@@ -184,7 +184,7 @@ function makeQueryOptionsApi(
protocol: Promise<"v1" | "v2">,
) {
return {
globalConfig: () => loadGlobalConfigQuery(scope, serverSDK()),
globalConfig: () => loadGlobalConfigQuery(scope, serverSDK(), protocol),
projects: () => loadProjectsQuery(scope, serverAPI.project),
providers: (directory: PathKey | null) =>
loadProvidersQuery(scope, directory, serverAPI, directory ? sdkFor(directory) : serverSDK(), protocol),
@@ -0,0 +1,43 @@
import { describe, expect, test } from "bun:test"
import { nextTab, previousTab, rememberTab, type TabHistory } from "./tab-history"
function history(): TabHistory {
return { stack: [], index: -1 }
}
describe("tab history", () => {
test("moves backward and forward through selected tabs", () => {
const selected = ["a", "b", "c"].reduce(rememberTab, history())
const available = new Set(selected.stack)
const previous = previousTab(selected, available)
expect(previous?.key).toBe("b")
const first = previousTab(previous!.state, available)
expect(first?.key).toBe("a")
const next = nextTab(first!.state, available)
expect(next?.key).toBe("b")
})
test("replaces forward history after a new selection", () => {
const selected = ["a", "b", "c"].reduce(rememberTab, history())
const previous = previousTab(selected, new Set(selected.stack))
const next = rememberTab(previous!.state, "d")
expect(next).toEqual({ stack: ["a", "b", "d"], index: 2 })
expect(nextTab(next, new Set(next.stack))).toBeUndefined()
})
test("skips tabs that are no longer open", () => {
const selected = ["a", "b", "c"].reduce(rememberTab, history())
expect(previousTab(selected, new Set(["a", "c"]))?.key).toBe("a")
})
test("skips a repeated current tab after closing the previous selection", () => {
const selected = ["a", "b", "c", "b"].reduce(rememberTab, history())
expect(previousTab(selected, new Set(["a", "b"]))?.key).toBe("a")
})
})
+28
View File
@@ -0,0 +1,28 @@
const MAX_TAB_HISTORY = 100
export type TabHistory = {
stack: string[]
index: number
}
export function rememberTab(state: TabHistory, key: string): TabHistory {
if (state.stack[state.index] === key) return state
const stack = state.stack.slice(0, state.index + 1).concat(key).slice(-MAX_TAB_HISTORY)
return { stack, index: stack.length - 1 }
}
export function previousTab(state: TabHistory, available: Set<string>) {
return move(state, -1, available)
}
export function nextTab(state: TabHistory, available: Set<string>) {
return move(state, 1, available)
}
function move(state: TabHistory, offset: -1 | 1, available: Set<string>) {
const current = state.stack[state.index]
for (let index = state.index + offset; index >= 0 && index < state.stack.length; index += offset) {
const key = state.stack[index]
if (key && key !== current && available.has(key)) return { state: { ...state, index }, key }
}
}
+20 -1
View File
@@ -13,6 +13,7 @@ import { createTabMemory } from "./tab-memory"
import { nextTabAfterClose, pushClosedTab, removeClosedTabs, takeClosedTab, type ClosedTab } from "./closed-tabs"
import { createDraftPromptSession, type PromptModel } from "./prompt-state"
import { migrateTabs } from "./tab-migration"
import { nextTab, previousTab, rememberTab, type TabHistory } from "./tab-history"
export type SessionTab = {
type: "session"
@@ -74,6 +75,7 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
const memory = createTabMemory(getOwner())
const closing = new Set<string>()
let history: TabHistory = { stack: [], index: -1 }
let recentWrite = 0
let recentValue: string | undefined
@@ -101,7 +103,10 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
}
const removeDraftPersisted = (draftID: string) => {
for (const key of draftPersistedKeys()) removePersisted(Persist.draft(draftID, key), platform)
for (const key of draftPersistedKeys()) {
const target = Persist.draft(draftID, key)
removePersisted(key === "prompt" ? Persist.prompt(target) : target, platform)
}
}
const removeInfo = (key: string) => {
@@ -145,10 +150,21 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
const navigateTab = (tab: Tab) => {
const href = tabHref(tab)
history = rememberTab(history, tabKey(tab))
setRecentKey(tabKey(tab))
navigate(href)
}
const moveHistory = (direction: "previous" | "next") => {
const available = new Set(store.map(tabKey))
const result = direction === "previous" ? previousTab(history, available) : nextTab(history, available)
if (!result) return
const tab = store.find((item) => tabKey(item) === result.key)
if (!tab) return
history = result.state
navigateTab(tab)
}
const removeTab = (index: number) => {
const tab = store[index]
if (!tab) return
@@ -354,8 +370,11 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
select: navigateTab,
remember(tab: Tab) {
const key = tabKey(tab)
history = rememberTab(history, key)
if (recentKey() !== key) setRecentKey(key)
},
previous: () => moveHistory("previous"),
next: () => moveHistory("next"),
toggleHome(input: { home: boolean; current?: Tab }) {
if (input.home) {
const tab = store.find((tab) => tabKey(tab) === recentKey())
+11
View File
@@ -2,6 +2,17 @@ import { describe, expect, test } from "bun:test"
import { DESKTOP_MENU } from "./desktop-menu"
describe("desktop menu", () => {
test("navigates between tabs", () => {
const items = DESKTOP_MENU.flatMap((menu) => menu.items ?? []).filter(
(item) => item.type === "item" && (item.label === "Previous Tab" || item.label === "Next Tab"),
)
expect(items).toEqual([
{ type: "item", label: "Previous Tab", command: "tab.prev", accelerator: { macos: "Option+Up" } },
{ type: "item", label: "Next Tab", command: "tab.next", accelerator: { macos: "Option+Down" } },
])
})
test("exports logs through the desktop command registry", () => {
const items = DESKTOP_MENU.flatMap((menu) => menu.items ?? []).filter(
(item) => item.type === "item" && item.label === "Export Logs...",
+2 -2
View File
@@ -168,8 +168,8 @@ export const DESKTOP_MENU: DesktopMenu[] = [
{ type: "item", label: "Back", command: "common.goBack", accelerator: { macos: "Cmd+[" } },
{ type: "item", label: "Forward", command: "common.goForward", accelerator: { macos: "Cmd+]" } },
{ type: "separator" },
{ type: "item", label: "Previous Session", command: "session.previous", accelerator: { macos: "Option+Up" } },
{ type: "item", label: "Next Session", command: "session.next", accelerator: { macos: "Option+Down" } },
{ type: "item", label: "Previous Tab", command: "tab.prev", accelerator: { macos: "Option+Up" } },
{ type: "item", label: "Next Tab", command: "tab.next", accelerator: { macos: "Option+Down" } },
{ type: "separator" },
{
type: "item",
+2
View File
@@ -4,6 +4,7 @@ import * as Sentry from "@sentry/solid"
import { render } from "solid-js/web"
import { AppBaseProviders, AppInterface } from "@/app"
import { type Platform, PlatformProvider } from "@/context/platform"
import { createBrowserDraftStore } from "@/utils/draft-store"
import { dict as en } from "@/i18n/en"
import { dict as zh } from "@/i18n/zh"
import { authFromToken } from "@/utils/server"
@@ -116,6 +117,7 @@ const clearAuthToken = () => {
const platform: Platform = {
platform: "web",
draftStore: createBrowserDraftStore(),
version: pkg.version,
openExternal,
restart,
+1
View File
@@ -27,3 +27,4 @@ export {
type WslServersState,
} from "./wsl/types"
export { ServerConnection } from "./context/server"
export { createDraftStore, type DraftStore } from "./utils/draft-store"
@@ -143,7 +143,7 @@ function ProviderTip() {
<TooltipV2
class="hover-reveal absolute left-full top-0 flex h-6 w-7 items-center justify-end delay-0 duration-0 group-hover/provider-tip:delay-[250ms] group-hover/provider-tip:duration-150 group-hover/provider-tip:opacity-100 focus-within:delay-0 focus-within:duration-0 focus-within:opacity-100"
placement="top"
openDelay={1000}
delay="intent"
value={language.t("common.dismiss")}
>
<button
@@ -167,4 +167,41 @@ describe("current session timeline rows", () => {
"thinking:msg_2",
])
})
test("removes a failed assistant error when the turn continues streaming", () => {
const source = [
{ id: "msg_user", type: "user", text: "recover", time: { created: 1 } },
{
id: "msg_failed",
type: "assistant",
agent: "build",
model: { id: "model", providerID: "provider" },
content: [],
error: { type: "ProviderError", message: "temporary failure" },
time: { created: 2, completed: 3 },
},
{
id: "msg_recovery",
type: "assistant",
agent: "build",
model: { id: "model", providerID: "provider" },
content: [{ type: "text", text: "streaming again" }],
time: { created: 4 },
},
] satisfies SessionMessageInfo[]
const normalized = normalizeSessionMessages("ses_1", source)
const messages = new Map(normalized.messages.map((message) => [message.id, message]))
const result = Timeline.constructSessionMessageRows(
source,
(messageID) => messages.get(messageID),
(messageID) => normalized.parts.get(messageID) ?? [],
true,
"busy",
true,
normalized.messages.filter((message) => message.role === "user"),
)
expect(result.rows.map((row) => row._tag)).toEqual(["UserMessage", "AssistantPart"])
})
})
@@ -116,7 +116,8 @@ export namespace Timeline {
const compaction = userParts.some((p) => p.type === "compaction")
const interruptedMessageIndex = assistantMessages.findIndex((m) => m.error?.name === "MessageAbortedError")
const interrupted = interruptedMessageIndex !== -1
const error = assistantMessages.find((m) => m.error && m.error.name !== "MessageAbortedError")?.error
const latestError = assistantMessages.at(-1)?.error
const error = latestError?.name === "MessageAbortedError" ? undefined : latestError
const assistantPartRefs = assistantMessages.flatMap((message, messageIndex) =>
getMessageParts(message.id)
+171
View File
@@ -0,0 +1,171 @@
import type { AsyncStorage } from "@solid-primitives/storage"
export type BlobReference = { id: string; url: string }
type Driver = {
get(key: string): Promise<string | null>
set(key: string, value: string): Promise<void>
remove(key: string): Promise<void>
putBlob(blob: Blob): Promise<string>
getBlob(id: string): Promise<Blob | null>
}
export type DraftStore = AsyncStorage & { putBlob(blob: Blob): Promise<BlobReference> }
const urls = new Map<string, string>()
function blobUrl(id: string, blob: Blob) {
const existing = urls.get(id)
if (existing) return existing
const url = URL.createObjectURL(blob)
urls.set(id, url)
return url
}
async function blobID(blob: Blob) {
const id = Array.from(new Uint8Array(await crypto.subtle.digest("SHA-256", await blob.arrayBuffer())))
.map((byte) => byte.toString(16).padStart(2, "0"))
.join("")
return id
}
export async function createBlobReference(blob: Blob): Promise<BlobReference> {
const id = await blobID(blob)
return { id, url: blobUrl(id, blob) }
}
export function createDraftStore(driver: Driver): DraftStore {
const versions = new Map<string, number>()
const putBlob = async (blob: Blob) => {
const id = await driver.putBlob(blob)
return { id, url: blobUrl(id, blob) }
}
const encode = async (value: unknown): Promise<unknown> => {
if (Array.isArray(value)) return Promise.all(value.map(encode))
if (!value || typeof value !== "object") return value
const item = value as Record<string, unknown>
if (item.type === "image" && typeof item.dataUrl === "string") {
const blob = await fetch(item.dataUrl).then((response) => response.blob())
const { dataUrl: _, ...rest } = item
return { ...rest, blob: { id: await driver.putBlob(blob) } }
}
if ("blob" in item && item.blob && typeof item.blob === "object") {
const blob = item.blob as Record<string, unknown>
if (typeof blob.id === "string" && blob.id.startsWith("data:")) {
const data = await fetch(blob.id).then((response) => response.blob())
return { ...item, blob: { id: await driver.putBlob(data) } }
}
return { ...item, blob: { id: blob.id } }
}
return Object.fromEntries(
await Promise.all(Object.entries(item).map(async ([key, entry]) => [key, await encode(entry)])),
)
}
const decode = async (value: unknown): Promise<unknown> => {
if (Array.isArray(value)) return Promise.all(value.map(decode))
if (!value || typeof value !== "object") return value
const item = value as Record<string, unknown>
if (item.blob && typeof item.blob === "object") {
const ref = item.blob as Record<string, unknown>
if (typeof ref.id === "string") {
const blob = await driver.getBlob(ref.id)
if (blob) return { ...item, blob: { id: ref.id, url: blobUrl(ref.id, blob) } }
}
}
return Object.fromEntries(
await Promise.all(Object.entries(item).map(async ([key, entry]) => [key, await decode(entry)])),
)
}
return {
getItem: async (key) => {
const value = await driver.get(key)
return value === null ? null : JSON.stringify(await decode(JSON.parse(value)))
},
setItem: async (key, value) => {
const version = (versions.get(key) ?? 0) + 1
versions.set(key, version)
const encoded = JSON.stringify(await encode(JSON.parse(value)))
if (versions.get(key) === version) await driver.set(key, encoded)
},
removeItem: async (key) => {
versions.set(key, (versions.get(key) ?? 0) + 1)
await driver.remove(key)
},
putBlob,
}
}
export function createBrowserDraftStore(): DraftStore {
const request = indexedDB.open("opencode-drafts", 1)
request.addEventListener("upgradeneeded", () => {
request.result.createObjectStore("documents")
request.result.createObjectStore("blobs")
})
const db = new Promise<IDBDatabase>((resolve, reject) => {
request.addEventListener("success", () => {
const database = request.result
const transaction = database.transaction(["documents", "blobs"], "readwrite")
const documents = transaction.objectStore("documents").getAll()
documents.addEventListener("success", () => {
const used = new Set<string>()
JSON.parse(`[${documents.result.join(",")}]`, (_key, item) => {
if (item?.blob && typeof item.blob.id === "string") used.add(item.blob.id)
return item
})
const blobs = transaction.objectStore("blobs").openKeyCursor()
blobs.addEventListener("success", () => {
const cursor = blobs.result
if (!cursor) return
if (!used.has(String(cursor.key))) cursor.delete()
cursor.continue()
})
})
transaction.addEventListener("complete", () => resolve(database))
transaction.addEventListener("abort", () => resolve(database))
})
request.addEventListener("error", () => reject(request.error))
})
const get = async (store: string, key: string) => {
const result = (await db).transaction(store).objectStore(store).get(key)
return new Promise<unknown>((resolve, reject) => {
result.addEventListener("success", () => resolve(result.result))
result.addEventListener("error", () => reject(result.error))
})
}
const write = async (store: string, key: string, value?: unknown) => {
const transaction = (await db).transaction(store, "readwrite")
if (value === undefined) transaction.objectStore(store).delete(key)
else transaction.objectStore(store).put(value, key)
return new Promise<void>((resolve, reject) => {
transaction.addEventListener("complete", () => resolve())
transaction.addEventListener("error", () => reject(transaction.error))
})
}
return createDraftStore({
get: async (key) => ((await get("documents", key)) as string | undefined) ?? null,
set: (key, value) => write("documents", key, value),
remove: (key) => write("documents", key),
putBlob: async (blob) => {
const id = await blobID(blob)
await write("blobs", id, blob)
return id
},
getBlob: async (id) => ((await get("blobs", id)) as Blob | undefined) ?? null,
})
}
export async function blobDataUrl(blob: BlobReference, mime: string) {
const data = await fetch(blob.url).then((response) => response.blob())
return new Promise<string>((resolve, reject) => {
const reader = new FileReader()
reader.addEventListener("error", () => reject(reader.error))
reader.addEventListener("load", () => {
const value = typeof reader.result === "string" ? reader.result : ""
resolve(`data:${mime};base64,${value.slice(value.indexOf(",") + 1)}`)
})
reader.readAsDataURL(data)
})
}
export function createLegacyBlobReference(dataUrl: string): BlobReference {
return { id: dataUrl, url: dataUrl }
}
+47 -5
View File
@@ -15,6 +15,7 @@ type PersistedWithReady<T> = [
]
type PersistTarget = {
draft?: boolean
storage?: string
scope?: "window"
legacyStorageNames?: string[]
@@ -295,6 +296,14 @@ async function removeAsync(storage: AsyncStorage, key: string) {
} catch {}
}
function toAsyncStorage(storage: SyncStorage | AsyncStorage): AsyncStorage {
return {
getItem: async (key) => storage.getItem(key),
setItem: async (key, value) => storage.setItem(key, value),
removeItem: async (key) => storage.removeItem(key),
}
}
async function migrateLegacyAsync(input: {
current: AsyncStorage
legacyStore?: AsyncStorage
@@ -513,6 +522,9 @@ export const Persist = {
if (session) return Persist.serverSession(scope, dir, session, key, legacy)
return Persist.serverWorkspace(scope, dir, key, legacy)
},
prompt(target: PersistTarget): PersistTarget {
return { ...target, draft: true }
},
}
function resolveTarget(target: PersistTarget, platform: Platform): PersistTarget {
@@ -526,9 +538,12 @@ function resolveTarget(target: PersistTarget, platform: Platform): PersistTarget
}
export function removePersisted(
target: { storage?: string; legacyStorageNames?: string[]; key: string },
target: { draft?: boolean; storage?: string; legacyStorageNames?: string[]; key: string },
platform?: Platform,
) {
if (target.draft && platform?.draftStore) {
void platform.draftStore.removeItem(`${target.storage ?? "default"}:${target.key}`)
}
const isDesktop = platform?.platform === "desktop" && !!platform.storage
if (isDesktop) {
@@ -561,8 +576,17 @@ export function persisted<T>(
const legacy = config.legacy ?? []
const isDesktop = platform.platform === "desktop" && !!platform.storage
const draft = config.draft ? platform.draftStore : undefined
const currentStorage = (() => {
if (draft) {
const prefix = `${config.storage ?? "default"}:`
return {
getItem: (key: string) => draft.getItem(prefix + key),
setItem: (key: string, value: string) => draft.setItem(prefix + key, value),
removeItem: (key: string) => draft.removeItem(prefix + key),
} satisfies AsyncStorage
}
if (isDesktop) return platform.storage?.(config.storage)
if (!config.storage) return localStorageDirect()
return localStorageWithPrefix(config.storage)
@@ -577,7 +601,7 @@ export function persisted<T>(
const legacyStorageNames = config.legacyStorageNames ?? []
const storage = (() => {
if (!isDesktop) {
if (!isDesktop && !draft) {
const current = currentStorage as SyncStorage
const legacyStore = legacyStorage as SyncStorage
const legacyStores = legacyStorageNames.map(localStorageWithPrefix)
@@ -609,15 +633,26 @@ export function persisted<T>(
const current = currentStorage as AsyncStorage
const legacyStore = legacyStorage as AsyncStorage | undefined
const legacyStores = legacyStorageNames
.map((name) => platform.storage?.(name) as AsyncStorage | undefined)
const oldCurrent = draft
? isDesktop
? platform.storage?.(config.storage)
: config.storage
? localStorageWithPrefix(config.storage)
: localStorageDirect()
: undefined
const legacyStores = [
oldCurrent,
...legacyStorageNames.map((name) => (isDesktop ? platform.storage?.(name) : localStorageWithPrefix(name))),
]
.filter((x) => !!x)
.map(toAsyncStorage)
let draftLatest: string | undefined
const api: AsyncStorage = {
getItem: async (key) => {
const value = await readCurrentAsync({ storage: current, key, defaults, migrate: config.migrate })
if (value !== undefined) return value
return migrateLegacyAsync({
const migrated = await migrateLegacyAsync({
current,
legacyStore,
stores: legacyStores,
@@ -626,8 +661,15 @@ export function persisted<T>(
defaults,
migrate: config.migrate,
})
if (draftLatest === undefined) {
if (draft && migrated !== null) return (await current.getItem(key)) ?? migrated
return migrated
}
await current.setItem(key, draftLatest)
return draftLatest
},
setItem: async (key, value) => {
if (draft) draftLatest = value
await current.setItem(key, value)
},
removeItem: async (key) => {
+12 -2
View File
@@ -37,8 +37,18 @@ describe("extractPromptFromParts", () => {
expect(result).toHaveLength(3)
expect(result[0]).toMatchObject({ type: "text", content: "check these" })
expect(result.slice(1)).toMatchObject([
{ type: "image", filename: "a.png", mime: "image/png", dataUrl: "data:image/png;base64,AAA" },
{ type: "image", filename: "b.pdf", mime: "application/pdf", dataUrl: "data:application/pdf;base64,BBB" },
{
type: "image",
filename: "a.png",
mime: "image/png",
blob: expect.objectContaining({ id: expect.any(String) }),
},
{
type: "image",
filename: "b.pdf",
mime: "application/pdf",
blob: expect.objectContaining({ id: expect.any(String) }),
},
])
})
})
+2 -1
View File
@@ -1,5 +1,6 @@
import type { AgentPart as MessageAgentPart, FilePart, Part, TextPart } from "@opencode-ai/sdk/v2"
import type { AgentPart, FileAttachmentPart, ImageAttachmentPart, Prompt } from "@/context/prompt"
import { createLegacyBlobReference } from "@/utils/draft-store"
type Inline =
| {
@@ -107,7 +108,7 @@ export function extractPromptFromParts(parts: Part[], opts?: { directory?: strin
id: filePart.id,
filename: filePart.filename ?? attachmentName,
mime: filePart.mime,
dataUrl: filePart.url,
blob: createLegacyBlobReference(filePart.url),
})
}
}
@@ -2,6 +2,7 @@ import { beforeAll, describe, expect, mock, test } from "bun:test"
import type { AsyncStorage } from "@solid-primitives/storage"
import { createEffect, createRoot } from "solid-js"
import { ServerScope } from "@/utils/server-scope"
import { createDraftStore } from "@/utils/draft-store"
let Prompt: typeof import("@/context/prompt")
let read: ((value: string | null) => void) | undefined
@@ -30,7 +31,7 @@ beforeAll(async () => {
}),
}))
mock.module("@/context/platform", () => ({
usePlatform: () => ({ platform: "desktop", storage: () => storage }),
usePlatform: () => ({ platform: "desktop", storage: () => storage, draftStore: storage }),
}))
Prompt = await import("@/context/prompt")
@@ -69,3 +70,50 @@ describe("prompt persistence", () => {
})
})
})
test("moves legacy image data URLs into blobs and hydrates object URLs", async () => {
const documents = new Map<string, string>()
const blobs = new Map<string, Blob>()
const store = createDraftStore({
get: async (key) => documents.get(key) ?? null,
set: async (key, value) => void documents.set(key, value),
remove: async (key) => void documents.delete(key),
putBlob: async (blob) => {
const id = String(blob.size)
blobs.set(id, blob)
return id
},
getBlob: async (id) => blobs.get(id) ?? null,
})
await store.setItem("prompt", JSON.stringify({ prompt: [{ type: "image", dataUrl: "data:image/png;base64,YQ==" }] }))
expect(documents.get("prompt")).not.toContain("dataUrl")
const value = JSON.parse((await store.getItem("prompt"))!)
expect(value.prompt[0].blob.id).toBe("1")
expect(value.prompt[0].blob.url).toStartWith("blob:")
})
test("does not let delayed blob migration overwrite a newer draft", async () => {
const documents = new Map<string, string>()
const migration = Promise.withResolvers<void>()
const store = createDraftStore({
get: async () => null,
set: async (key, value) => void documents.set(key, value),
remove: async () => undefined,
putBlob: async () => {
await migration.promise
return "blob"
},
getBlob: async () => null,
})
const older = store.setItem(
"prompt",
JSON.stringify({ prompt: [{ type: "image", dataUrl: "data:image/png;base64,YQ==" }] }),
)
await Bun.sleep(0)
await store.setItem("prompt", JSON.stringify({ prompt: [{ type: "text", content: "latest" }] }))
migration.resolve()
await older
expect(documents.get("prompt")).toContain("latest")
})
@@ -32,6 +32,7 @@ const models = [
{ name: "Kimi K2.6", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "MiMo-V2.5-Pro", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "MiMo-V2.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "Qwen3.8 Max", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "Qwen3.7 Max", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "Qwen3.7 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
{ name: "Qwen3.6 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
@@ -67,6 +68,7 @@ function LimitsGraph(props: { href: string }) {
const graph = [
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "50ms" },
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "75ms" },
{ id: "qwen3.8-max", name: "Qwen3.8 Max", req: 160, d: "90ms" },
{ id: "glm-5.2", name: "GLM-5.2", req: 880, d: "100ms" },
{ id: "minimax-m3", name: "MiniMax M3", req: 3200, d: "210ms" },
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, d: "270ms" },
@@ -313,6 +313,7 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
<li>Kimi K2.6</li>
<li>MiniMax M3</li>
<li>MiniMax M2.7</li>
<li>Qwen3.8 Max</li>
<li>Qwen3.7 Max</li>
<li>Qwen3.7 Plus</li>
<li>Qwen3.6 Plus</li>
@@ -0,0 +1,2 @@
CREATE UNIQUE INDEX `global_lite_subscription_id` ON `billing` (`lite_subscription_id`);--> statement-breakpoint
CREATE INDEX `referral_id` ON `referral_reward` (`referral_id`);
+13 -35
View File
@@ -59,30 +59,7 @@ export namespace Referral {
const accountID = Actor.account()
const code = await ensureCode(workspaceID)
const rows = await Database.use(async (tx) => {
const [rewards, invites, inviteeReferral, inviteeRewards] = await Promise.all([
tx
.select({
referralID: ReferralRewardTable.referralID,
workspaceID: ReferralRewardTable.workspaceID,
referralWorkspaceID: ReferralTable.workspaceID,
inviteeEmail: AuthTable.subject,
amount: ReferralRewardTable.amount,
timeCreated: ReferralRewardTable.timeCreated,
timeApplied: ReferralRewardTable.timeApplied,
})
.from(ReferralRewardTable)
.innerJoin(ReferralTable, eq(ReferralTable.id, ReferralRewardTable.referralID))
.innerJoin(
AuthTable,
and(eq(AuthTable.accountID, ReferralTable.inviteeAccountID), eq(AuthTable.provider, "email")),
)
.where(
and(
eq(ReferralRewardTable.workspaceID, workspaceID),
isNull(ReferralRewardTable.timeDeleted),
isNull(ReferralTable.timeDeleted),
),
),
const [invites, inviteeReferral] = await Promise.all([
tx
.select({ id: ReferralTable.id, inviteeEmail: AuthTable.subject, timeCreated: ReferralTable.timeCreated })
.from(ReferralTable)
@@ -106,19 +83,20 @@ export namespace Referral {
.where(and(eq(ReferralTable.inviteeAccountID, accountID), isNull(ReferralTable.timeDeleted)))
.orderBy(asc(UserTable.timeCreated))
.then((rows) => rows.find((row) => row.inviterEmail) ?? rows[0]),
tx
.select({ referralID: ReferralRewardTable.referralID })
.from(ReferralRewardTable)
.innerJoin(ReferralTable, eq(ReferralTable.id, ReferralRewardTable.referralID))
.where(
and(
eq(ReferralTable.inviteeAccountID, accountID),
isNull(ReferralRewardTable.timeDeleted),
isNull(ReferralTable.timeDeleted),
),
),
])
// Hide reward history until the referral_id index can be deployed and this lookup restored.
const rewards: {
referralID: string
workspaceID: string
referralWorkspaceID: string
inviteeEmail: string
amount: number
timeCreated: Date
timeApplied: Date | null
}[] = []
// Hide pending invitee rewards until the referral_id index can be deployed and this lookup restored.
const inviteeRewards = inviteeReferral ? [{ referralID: inviteeReferral.id }] : []
return { inviteeReferral, inviteeRewards, invites, rewards }
})
@@ -53,6 +53,7 @@ export const BillingTable = mysqlTable(
...workspaceIndexes(table),
uniqueIndex("global_customer_id").on(table.customerID),
uniqueIndex("global_subscription_id").on(table.subscriptionID),
uniqueIndex("global_lite_subscription_id").on(table.liteSubscriptionID),
],
)
@@ -1,4 +1,4 @@
import { bigint, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
import { bigint, index, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
import { timestamps, ulid, utc, workspaceColumns } from "../drizzle/types"
import { workspaceIndexes } from "./workspace.sql"
@@ -31,5 +31,8 @@ export const ReferralRewardTable = mysqlTable(
amount: bigint("amount", { mode: "number" }).notNull(),
timeApplied: utc("time_applied"),
},
(table) => [primaryKey({ columns: [table.workspaceID, table.referralID] })],
(table) => [
primaryKey({ columns: [table.workspaceID, table.referralID] }),
index("referral_id").on(table.referralID),
],
)
+2 -1
View File
@@ -30,7 +30,8 @@
"electron-log": "^5",
"electron-store": "11.0.2",
"electron-updater": "6.8.9",
"electron-window-state": "^5.0.3"
"electron-window-state": "^5.0.3",
"drizzle-orm": "catalog:"
},
"devDependencies": {
"@actions/artifact": "4.0.0",
@@ -0,0 +1,16 @@
import { expect, test } from "bun:test"
import { createDesktopDraftStore } from "./draft-store"
test("flushes the latest buffered draft and stores blobs", () => {
const store = createDesktopDraftStore(":memory:")
store.set("prompt", "first")
store.set("prompt", "latest")
expect(store.get("prompt")).toBe("latest")
store.flush()
expect(store.get("prompt")).toBe("latest")
const bytes = new TextEncoder().encode("image")
const id = store.putBlob(bytes)
expect(store.getBlob(id)).toEqual(bytes)
store.close()
})
+82
View File
@@ -0,0 +1,82 @@
import { createHash } from "node:crypto"
import { DatabaseSync } from "node:sqlite"
import { eq } from "drizzle-orm"
import { drizzle } from "drizzle-orm/node-sqlite"
import { blob, sqliteTable, text } from "drizzle-orm/sqlite-core"
const documents = sqliteTable("document", {
key: text().primaryKey(),
value: text().notNull(),
})
const blobs = sqliteTable("blob", {
id: text().primaryKey(),
data: blob({ mode: "buffer" }).notNull(),
})
export function createDesktopDraftStore(filename: string) {
const native = new DatabaseSync(filename)
native.exec(
"PRAGMA journal_mode=WAL; CREATE TABLE IF NOT EXISTS document (key TEXT PRIMARY KEY, value TEXT NOT NULL); CREATE TABLE IF NOT EXISTS blob (id TEXT PRIMARY KEY, data BLOB NOT NULL);",
)
const db = drizzle({ client: native })
const used = new Set<string>()
db.select({ value: documents.value })
.from(documents)
.all()
.forEach(({ value }) =>
JSON.parse(value, (_key, item) => {
if (item?.blob && typeof item.blob.id === "string") used.add(item.blob.id)
return item
}),
)
db.select({ id: blobs.id })
.from(blobs)
.all()
.filter(({ id }) => !used.has(id))
.forEach(({ id }) => db.delete(blobs).where(eq(blobs.id, id)).run())
const pending = new Map<string, string | null>()
let timer: ReturnType<typeof setTimeout> | undefined
const flush = () => {
if (timer) clearTimeout(timer)
timer = undefined
const writes = [...pending]
pending.clear()
db.transaction((tx) => {
writes.forEach(([key, value]) => {
if (value === null) tx.delete(documents).where(eq(documents.key, key)).run()
else
tx.insert(documents)
.values({ key, value })
.onConflictDoUpdate({ target: documents.key, set: { value } })
.run()
})
})
}
const schedule = () => {
if (!timer) timer = setTimeout(flush, 500)
}
return {
get: (key: string) =>
pending.has(key)
? (pending.get(key) ?? null)
: (db.select({ value: documents.value }).from(documents).where(eq(documents.key, key)).get()?.value ?? null),
set(key: string, value: string | null) {
pending.set(key, value)
schedule()
},
putBlob(data: Uint8Array) {
const id = createHash("sha256").update(data).digest("hex")
db.insert(blobs)
.values({ id, data: Buffer.from(data) })
.onConflictDoNothing()
.run()
return id
},
getBlob: (id: string) => db.select({ data: blobs.data }).from(blobs).where(eq(blobs.id, id)).get()?.data ?? null,
flush,
close() {
flush()
native.close()
},
}
}
+2 -2
View File
@@ -171,7 +171,7 @@ const main = Effect.gen(function* () {
setAppQuitting()
void stopSidecars().finally(() => {
app.relaunch()
app.exit(0)
app.quit()
})
}
@@ -245,7 +245,7 @@ const main = Effect.gen(function* () {
for (const signal of ["SIGINT", "SIGTERM"] as const) {
process.on(signal, () => {
setAppQuitting()
void stopSidecars().finally(() => app.exit(0))
void stopSidecars().finally(() => app.quit())
})
}
+14 -1
View File
@@ -1,6 +1,6 @@
import { execFile } from "node:child_process"
import { stat } from "node:fs/promises"
import { basename } from "node:path"
import { basename, join } from "node:path"
import { app, BrowserWindow, clipboard, dialog, ipcMain, shell } from "electron"
import type { IpcMainEvent, IpcMainInvokeEvent } from "electron"
import type { DesktopMenuAction } from "@opencode-ai/app/desktop-menu"
@@ -21,6 +21,7 @@ import {
} from "./windows"
import type { UpdaterController } from "./updater-controller"
import { createUpdaterSubscriptions } from "./updater-subscriptions"
import { createDesktopDraftStore } from "./draft-store"
const pickerFilters = (ext?: string[]) => {
if (!ext || ext.length === 0) return undefined
@@ -51,8 +52,12 @@ type Deps = {
}
export function registerIpcHandlers(deps: Deps) {
const drafts = createDesktopDraftStore(join(app.getPath("userData"), "drafts.sqlite"))
const updaterSubscriptions = createUpdaterSubscriptions()
app.once("will-quit", updaterSubscriptions.clear)
app.on("before-quit", () => drafts.flush())
app.once("will-quit", () => drafts.close())
app.on("browser-window-created", (_event, win) => win.on("session-end", () => drafts.flush()))
ipcMain.handle("kill-sidecar", () => deps.killSidecar())
ipcMain.handle("await-initialization", () => deps.awaitInitialization())
@@ -123,6 +128,14 @@ export function registerIpcHandlers(deps: Deps) {
const store = getStore(name)
return Object.keys(store.store).length
})
ipcMain.handle("draft-get", (_event, key: string) => drafts.get(key))
ipcMain.handle("draft-set", (_event, key: string, value: string) => drafts.set(key, value))
ipcMain.handle("draft-delete", (_event, key: string) => drafts.set(key, null))
ipcMain.handle("draft-blob-put", (_event, data: ArrayBuffer) => drafts.putBlob(new Uint8Array(data)))
ipcMain.handle("draft-blob-get", (_event, id: string) => {
const data = drafts.getBlob(id)
return data ? data.buffer.slice(data.byteOffset, data.byteOffset + data.byteLength) : null
})
ipcMain.handle(
"open-directory-picker",
+5
View File
@@ -73,6 +73,11 @@ const api: ElectronAPI = {
storeClear: (name) => ipcRenderer.invoke("store-clear", name),
storeKeys: (name) => ipcRenderer.invoke("store-keys", name),
storeLength: (name) => ipcRenderer.invoke("store-length", name),
draftGet: (key) => ipcRenderer.invoke("draft-get", key),
draftSet: (key, value) => ipcRenderer.invoke("draft-set", key, value),
draftDelete: (key) => ipcRenderer.invoke("draft-delete", key),
draftBlobPut: (data) => ipcRenderer.invoke("draft-blob-put", data),
draftBlobGet: (id) => ipcRenderer.invoke("draft-blob-get", id),
getWindowID: () => ipcRenderer.invoke("get-window-id"),
onMenuCommand: (cb) => {
+5
View File
@@ -63,6 +63,11 @@ export type ElectronAPI = {
storeClear: (name: string) => Promise<void>
storeKeys: (name: string) => Promise<string[]>
storeLength: (name: string) => Promise<number>
draftGet: (key: string) => Promise<string | null>
draftSet: (key: string, value: string) => Promise<void>
draftDelete: (key: string) => Promise<void>
draftBlobPut: (data: ArrayBuffer) => Promise<string>
draftBlobGet: (id: string) => Promise<ArrayBuffer | null>
getWindowID: () => Promise<string>
onMenuCommand: (cb: (id: string) => void) => () => void
+8
View File
@@ -9,6 +9,7 @@ import {
type Locale,
type Platform,
PlatformProvider,
createDraftStore,
ServerConnection,
useCommand,
useWslServers,
@@ -226,6 +227,13 @@ const createPlatform = (windowState: DesktopWindowState): Platform => {
},
storage,
draftStore: createDraftStore({
get: window.api.draftGet,
set: window.api.draftSet,
remove: window.api.draftDelete,
putBlob: (blob) => blob.arrayBuffer().then(window.api.draftBlobPut),
getBlob: (id) => window.api.draftBlobGet(id).then((data) => data && new Blob([data])),
}),
updater: {
state: updaterState,
+4 -10
View File
@@ -340,16 +340,6 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
return {
apiKey: OAUTH_DUMMY_KEY,
async fetch(requestInput: RequestInfo | URL, init?: RequestInit) {
const currentAuth = await getAuth()
if (currentAuth?.type === "api") {
const headers = new Headers(init?.headers)
headers.set("authorization", `Bearer ${currentAuth.key}`)
const requestInit = { ...init, headers }
return websocketFetch ? websocketFetch(requestInput, requestInit) : fetch(requestInput, requestInit)
}
if (currentAuth?.type !== "oauth")
return websocketFetch ? websocketFetch(requestInput, init) : fetch(requestInput, init)
if (init?.headers) {
if (init.headers instanceof Headers) {
init.headers.delete("authorization")
@@ -362,6 +352,10 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
}
}
const currentAuth = await getAuth()
if (currentAuth.type !== "oauth")
return websocketFetch ? websocketFetch(requestInput, init) : fetch(requestInput, init)
const authWithAccount = currentAuth as typeof currentAuth & { accountId?: string }
if (!currentAuth.access || currentAuth.expires < Date.now()) {
@@ -7,7 +7,6 @@ import {
renderOAuthError,
type IdTokenClaims,
} from "../../src/plugin/openai/codex"
import { OAUTH_DUMMY_KEY } from "../../src/auth"
function createTestJwt(payload: object): string {
const header = Buffer.from(JSON.stringify({ alg: "none" })).toString("base64url")
@@ -150,68 +149,6 @@ describe("plugin.codex", () => {
await enabled.dispose?.()
})
test("passes requests through when OAuth auth is removed after loading", async () => {
let auth:
| {
type: "oauth"
refresh: string
access: string
expires: number
}
| undefined = {
type: "oauth",
refresh: "refresh",
access: "access",
expires: Date.now() + 60_000,
}
using server = Bun.serve({
port: 0,
fetch(request) {
return Response.json({ authorization: request.headers.get("authorization") })
},
})
const hooks = await CodexAuthPlugin({} as never)
const loaded = await hooks.auth!.loader!(async () => auth as never, {} as never)
auth = undefined
const response = await loaded.fetch!(server.url, {
headers: { authorization: `Bearer ${OAUTH_DUMMY_KEY}` },
})
expect(await response.json()).toEqual({ authorization: `Bearer ${OAUTH_DUMMY_KEY}` })
})
test("uses current API key when OAuth auth is replaced after loading", async () => {
let auth:
| {
type: "oauth"
refresh: string
access: string
expires: number
}
| { type: "api"; key: string } = {
type: "oauth",
refresh: "refresh",
access: "access",
expires: Date.now() + 60_000,
}
using server = Bun.serve({
port: 0,
fetch(request) {
return Response.json({ authorization: request.headers.get("authorization") })
},
})
const hooks = await CodexAuthPlugin({} as never)
const loaded = await hooks.auth!.loader!(async () => auth as never, {} as never)
auth = { type: "api", key: "sk-current" }
const response = await loaded.fetch!(server.url, {
headers: { authorization: `Bearer ${OAUTH_DUMMY_KEY}` },
})
expect(await response.json()).toEqual({ authorization: "Bearer sk-current" })
})
test("filters unsupported modes and uses Codex context limits for OAuth GPT models", async () => {
const hooks = await CodexAuthPlugin({} as never)
const limit = { context: 1_050_000, input: 922_000, output: 128_000 }
@@ -32,7 +32,6 @@ export function CommentCardV2(props: {
return (
<TooltipV2
placement="top"
openDelay={1000}
value={props.title ?? props.comment}
disabled={!props.tooltip || !truncated()}
class={props.wide ? "w-full" : undefined}
@@ -78,6 +78,7 @@ export type PromptInputV2AttachmentConfig = {
onError: (error: unknown) => void
readClipboardImage?: () => Promise<File | null>
getPathForFile?: (file: File) => string
store?: (file: File) => Promise<{ id: string; url: string }>
}
export function createPromptInputV2Attachments(
@@ -102,8 +103,7 @@ export function createPromptInputV2Attachments(
if (toast) input.warn()
return false
}
const url = await dataUrl(file, mime)
if (!url) return false
const blob = input.store ? await input.store(file) : await blobReference(file)
const sourcePath = input.getPathForFile?.(file) || undefined
// Native clipboard images arrive with a fresh timestamped filename on every paste, so identical
// clipboard content is matched on bytes alone.
@@ -112,7 +112,7 @@ export function createPromptInputV2Attachments(
.some(
(part) =>
part.type === "image" &&
part.dataUrl === url &&
part.blob.id === blob.id &&
(sourcePath
? part.sourcePath === sourcePath
: !part.sourcePath && (clipboard || part.filename === file.name)),
@@ -127,7 +127,7 @@ export function createPromptInputV2Attachments(
filename: file.name,
sourcePath,
mime,
dataUrl: url,
blob,
}
target.prompt.set([...target.prompt.current(), attachment], target.cursor)
return true
@@ -219,20 +219,14 @@ export function createPromptInputV2Attachments(
}
}
function dataUrl(file: File, mime: string) {
return new Promise<string>((resolve) => {
const reader = new FileReader()
reader.addEventListener("error", () => resolve(""))
reader.addEventListener("load", () => {
const value = typeof reader.result === "string" ? reader.result : ""
const index = value.indexOf(",")
resolve(index === -1 ? value : `data:${mime};base64,${value.slice(index + 1)}`)
})
reader.readAsDataURL(file)
})
}
const imageMimes = new Set(["image/png", "image/jpeg", "image/gif", "image/webp"])
async function blobReference(file: File) {
const id = Array.from(new Uint8Array(await crypto.subtle.digest("SHA-256", await file.arrayBuffer())))
.map((byte) => byte.toString(16).padStart(2, "0"))
.join("")
return { id, url: URL.createObjectURL(file) }
}
const imageExtensions = new Map([
["gif", "image/gif"],
["jpeg", "image/jpeg"],
@@ -387,12 +387,7 @@ export function PromptInputV2Attachments(props: {
<For each={props.comments ?? []}>
{(comment) => (
<div class="relative group shrink-0">
<TooltipV2
value={comment.comment}
placement="top"
openDelay={800}
contentClass="max-w-[300px] break-words"
>
<TooltipV2 value={comment.comment} placement="top" contentClass="max-w-[300px] break-words">
<CommentCardV2
comment={comment.comment ?? ""}
path={comment.path}
@@ -425,7 +420,7 @@ export function PromptInputV2Attachments(props: {
}
>
<img
src={attachment.dataUrl}
src={attachment.blob.url}
alt={attachment.filename}
class="w-[58px] h-[46px] rounded-[6px] object-cover"
onClick={() => props.onAttachmentClick?.(attachment)}
@@ -121,7 +121,7 @@ function ControlledPromptInput() {
id: "attachment-1",
filename: "requirements.md",
mime: "text/markdown",
dataUrl: "data:text/markdown;base64,IyBSZXF1aXJlbWVudHM=",
blob: { id: "requirements", url: "data:text/markdown;base64,IyBSZXF1aXJlbWVudHM=" },
},
],
cursor: 0,
@@ -199,7 +199,7 @@ function ControlledPromptInput() {
id: `attachment-${store.state.prompt.filter((part) => part.type === "image").length + 1}`,
filename,
mime,
dataUrl: `data:${mime};base64,`,
blob: { id: filename, url: `data:${mime};base64,` },
})
}
@@ -13,7 +13,7 @@ function createPromptStore() {
id: "attachment-1",
filename: "notes.txt",
mime: "text/plain",
dataUrl: "data:text/plain;base64,",
blob: { id: "a", url: "blob:a" },
},
],
cursor: 3,
@@ -50,7 +50,7 @@ describe("prompt input v2 store", () => {
id: "attachment-1",
filename: "notes.txt",
mime: "text/plain",
dataUrl: "data:text/plain;base64,",
blob: { id: "a", url: "blob:a" },
},
])
expect(prompt.state.cursor).toBe(7)
@@ -31,7 +31,7 @@ export type PromptInputV2Attachment = {
filename: string
sourcePath?: string
mime: string
dataUrl: string
blob: { id: string; url: string }
}
export type PromptInputV2Prompt = (
@@ -216,7 +216,6 @@ export function SessionReviewV2(props: SessionReviewV2Props) {
</Show>
<div class="flex items-center">
<TooltipV2
openDelay={2000}
inactive={!prev()}
value={
<>
@@ -236,7 +235,6 @@ export function SessionReviewV2(props: SessionReviewV2Props) {
/>
</TooltipV2>
<TooltipV2
openDelay={2000}
inactive={!next()}
value={
<>
@@ -270,12 +268,12 @@ export function SessionReviewV2(props: SessionReviewV2Props) {
class="session-review-v2-segmented-control session-review-v2-segmented-control--icon"
aria-label={i18n.t("ui.sessionReviewV2.expandMode")}
>
<TooltipV2 openDelay={2000} value={i18n.t("ui.sessionReviewV2.showAllLines")}>
<TooltipV2 value={i18n.t("ui.sessionReviewV2.showAllLines")}>
<SegmentedControlItemV2 value="expand" aria-label={i18n.t("ui.sessionReviewV2.showAllLines")}>
<Icon name="expand" />
</SegmentedControlItemV2>
</TooltipV2>
<TooltipV2 openDelay={2000} value={i18n.t("ui.sessionReviewV2.hideNonDiffLines")}>
<TooltipV2 value={i18n.t("ui.sessionReviewV2.hideNonDiffLines")}>
<SegmentedControlItemV2 value="collapse" aria-label={i18n.t("ui.sessionReviewV2.hideNonDiffLines")}>
<Icon name="collapse" />
</SegmentedControlItemV2>
@@ -291,12 +289,12 @@ export function SessionReviewV2(props: SessionReviewV2Props) {
class="session-review-v2-segmented-control session-review-v2-segmented-control--icon"
aria-label={i18n.t("ui.sessionReviewV2.diffView")}
>
<TooltipV2 openDelay={2000} value={i18n.t("ui.sessionReviewV2.unifiedDiff")}>
<TooltipV2 value={i18n.t("ui.sessionReviewV2.unifiedDiff")}>
<SegmentedControlItemV2 value="unified" aria-label={i18n.t("ui.sessionReviewV2.unifiedDiff")}>
<Icon name="unified" />
</SegmentedControlItemV2>
</TooltipV2>
<TooltipV2 openDelay={2000} value={i18n.t("ui.sessionReviewV2.splitDiff")}>
<TooltipV2 value={i18n.t("ui.sessionReviewV2.splitDiff")}>
<SegmentedControlItemV2 value="split" aria-label={i18n.t("ui.sessionReviewV2.splitDiff")}>
<Icon name="split" />
</SegmentedControlItemV2>
+5 -1
View File
@@ -104,7 +104,6 @@ const appGlobalBindingCommands = [
] as const
const appBindingCommands = [
"command.palette.show",
"model.list",
"model.cycle_recent",
"model.cycle_recent_reverse",
@@ -963,6 +962,11 @@ function App(props: { onSnapshot?: () => Promise<string[]>; pluginHost: TuiPlugi
commands: appCommands(),
}))
useBindings(() => ({
enabled: () => dialog.stack.length === 0,
bindings: tuiConfig.keybinds.get(COMMAND_PALETTE_COMMAND),
}))
useBindings(() => ({
mode: OPENCODE_BASE_MODE,
bindings: tuiConfig.keybinds.gather("app", appBindingCommands),
+34 -4
View File
@@ -5,7 +5,13 @@ import { testRender, useRenderer } from "@opentui/solid"
import { expect, test } from "bun:test"
import { onCleanup } from "solid-js"
import { TuiKeybind } from "../src/config/keybind"
import { getOpencodeModeStack, OPENCODE_BASE_MODE, OpencodeKeymapProvider, registerOpencodeKeymap } from "../src/keymap"
import {
COMMAND_PALETTE_COMMAND,
getOpencodeModeStack,
OPENCODE_BASE_MODE,
OpencodeKeymapProvider,
registerOpencodeKeymap,
} from "../src/keymap"
function createResolvedKeymapConfig(input: TuiKeybind.KeybindOverrides = {}) {
const keybinds = TuiKeybind.parse(input)
@@ -73,12 +79,14 @@ test("mode-less bindings stay active when opencode mode changes", async () => {
const offKeymap = registerOpencodeKeymap(keymap, renderer, config)
const offGlobal = keymap.registerLayer({
commands: [
{ name: COMMAND_PALETTE_COMMAND, run() {} },
{ name: "session.list", run() {} },
{ name: "session.new", run() {} },
{ name: "session.page.up", run() {} },
{ name: "session.first", run() {} },
],
bindings: config.keybinds.gather("test.global", [
COMMAND_PALETTE_COMMAND,
"session.list",
"session.new",
"session.page.up",
@@ -95,7 +103,14 @@ test("mode-less bindings stay active when opencode mode changes", async () => {
Array.from(
keymap.getCommandBindings({
visibility: "active",
commands: ["session.list", "session.new", "session.page.up", "session.first", "model.list"],
commands: [
COMMAND_PALETTE_COMMAND,
"session.list",
"session.new",
"session.page.up",
"session.first",
"model.list",
],
}),
([command, bindings]) => [command, bindings.length],
),
@@ -125,9 +140,24 @@ test("mode-less bindings stay active when opencode mode changes", async () => {
const app = await testRender(() => <Harness />)
try {
expect(counts).toEqual({
base: { "session.list": 1, "session.new": 1, "session.page.up": 2, "session.first": 2, "model.list": 1 },
question: { "session.list": 1, "session.new": 1, "session.page.up": 2, "session.first": 2, "model.list": 0 },
base: {
[COMMAND_PALETTE_COMMAND]: 1,
"session.list": 1,
"session.new": 1,
"session.page.up": 2,
"session.first": 2,
"model.list": 1,
},
question: {
[COMMAND_PALETTE_COMMAND]: 1,
"session.list": 1,
"session.new": 1,
"session.page.up": 2,
"session.first": 2,
"model.list": 0,
},
autocomplete: {
[COMMAND_PALETTE_COMMAND]: 1,
"session.list": 1,
"session.new": 1,
"session.page.up": 2,
@@ -0,0 +1,35 @@
const OPEN_DELAY = 1_000
// Kobalte warms every tooltip globally. Keep intent previews isolated so opening
// a model picker never inherits warm state from an unrelated tooltip.
let warm = false
let reset: ReturnType<typeof setTimeout> | undefined
export function openTooltipIntent(open: () => void) {
clearTimeout(reset)
reset = undefined
if (warm) {
open()
return
}
const timer = setTimeout(() => {
warm = true
open()
}, OPEN_DELAY)
return () => clearTimeout(timer)
}
export function closeTooltipIntent() {
clearTimeout(reset)
// Adjacent triggers enter before the next task; leaving the group does not.
reset = setTimeout(() => {
warm = false
reset = undefined
})
}
export function resetTooltipIntent() {
clearTimeout(reset)
reset = undefined
warm = false
}
+36 -6
View File
@@ -2,19 +2,22 @@ import { Tooltip as KobalteTooltip } from "@kobalte/core/tooltip"
import { createEffect, Match, onCleanup, splitProps, Switch, type JSX } from "solid-js"
import type { ComponentProps } from "solid-js"
import { createStore } from "solid-js/store"
import { closeTooltipIntent, openTooltipIntent, resetTooltipIntent } from "./tooltip-intent"
import "./tooltip-v2.css"
export interface TooltipV2Props extends ComponentProps<typeof KobalteTooltip> {
export interface TooltipV2Props extends Omit<ComponentProps<typeof KobalteTooltip>, "openDelay"> {
value: JSX.Element
class?: string
contentClass?: string
contentStyle?: JSX.CSSProperties
inactive?: boolean
delay?: "standard" | "intent"
forceOpen?: boolean
}
export function TooltipV2(props: TooltipV2Props) {
let ref: HTMLDivElement | undefined
let cancelIntent: (() => void) | undefined
const [state, setState] = createStore({
open: false,
block: false,
@@ -26,19 +29,37 @@ export function TooltipV2(props: TooltipV2Props) {
"contentClass",
"contentStyle",
"inactive",
"delay",
"forceOpen",
"ignoreSafeArea",
"value",
])
const close = () => setState("open", false)
const inside = () => {
const active = document.activeElement
if (!ref || !active) return false
return ref.contains(active)
}
const close = () => {
cancelIntent?.()
cancelIntent = undefined
if (local.delay === "intent") closeTooltipIntent()
setState("open", false)
}
const show = () => {
if (local.delay !== "intent" || inside()) {
setState("open", true)
return
}
if (cancelIntent) return
cancelIntent = openTooltipIntent(() => {
cancelIntent = undefined
setState("open", true)
})
}
const drop = (expand = state.expand) => {
if (expand) return
if (ref?.matches(":hover")) return
@@ -80,6 +101,11 @@ export function TooltipV2(props: TooltipV2Props) {
onCleanup(() => obs.disconnect())
})
onCleanup(() => {
cancelIntent?.()
if (local.delay === "intent") resetTooltipIntent()
})
let justClickedTrigger = false
return (
@@ -88,8 +114,8 @@ export function TooltipV2(props: TooltipV2Props) {
<Match when={true}>
<KobalteTooltip
gutter={4}
openDelay={400}
skipDelayDuration={300}
openDelay={local.delay === "intent" ? 0 : 400}
skipDelayDuration={local.delay === "intent" ? 0 : 300}
{...others}
closeDelay={0}
ignoreSafeArea={local.ignoreSafeArea ?? true}
@@ -101,7 +127,11 @@ export function TooltipV2(props: TooltipV2Props) {
justClickedTrigger = false
return
}
setState("open", open)
if (open) {
show()
return
}
close()
}}
>
<KobalteTooltip.Trigger
+7 -1
View File
@@ -60,6 +60,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -114,6 +116,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- DeepSeek V4 Flash — 790 input، و68,000 cached، و280 output tokens لكل طلب
- MiniMax M3 — 510 input، و56,000 cached، و190 output tokens لكل طلب
- MiniMax M2.7 — 300 input، و55,000 cached، و125 output tokens لكل طلب
- Qwen3.8 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
- Qwen3.7 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
- Qwen3.7 Plus — 500 input، و57,000 cached، و190 output tokens لكل طلب
- Qwen3.6 Plus — 500 input، و57,000 cached، و190 output tokens لكل طلب
@@ -138,6 +141,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | غير مستخدَمة | 0 أيام |
| MiMo-V2.5-Pro | غير مستخدَمة | 0 أيام |
| MiMo-V2.5 | غير مستخدَمة | 0 أيام |
| Qwen3.8 Max | غير مستخدَمة | 0 أيام |
| Qwen3.7 Max | غير مستخدَمة | 0 أيام |
| Qwen3.7 Plus | غير مستخدَمة | 0 أيام |
| Qwen3.6 Plus | غير مستخدَمة | 0 أيام |
+7 -1
View File
@@ -70,6 +70,7 @@ Trenutna lista modela uključuje:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -106,7 +107,8 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -124,6 +126,7 @@ Procjene se zasnivaju na zapaženim obrascima zahtjeva:
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
- MiniMax M2.7 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- Qwen3.8 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
- Qwen3.7 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
- Qwen3.7 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
- Qwen3.6 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
@@ -148,6 +151,7 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -207,6 +211,7 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -241,6 +246,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Ne koristi se | 0 dana |
| MiMo-V2.5-Pro | Ne koristi se | 0 dana |
| MiMo-V2.5 | Ne koristi se | 0 dana |
| Qwen3.8 Max | Ne koristi se | 0 dana |
| Qwen3.7 Max | Ne koristi se | 0 dana |
| Qwen3.7 Plus | Ne koristi se | 0 dana |
| Qwen3.6 Plus | Ne koristi se | 0 dana |
+7 -1
View File
@@ -70,6 +70,7 @@ Den nuværende liste over modeller inkluderer:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -106,7 +107,8 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -124,6 +126,7 @@ Estimaterne er baseret på observerede anmodningsmønstre:
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
- MiniMax M2.7 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- Qwen3.8 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
- Qwen3.7 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
- Qwen3.7 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
- Qwen3.6 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
@@ -148,6 +151,7 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -207,6 +211,7 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -241,6 +246,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Ikke brugt | 0 dage |
| MiMo-V2.5-Pro | Ikke brugt | 0 dage |
| MiMo-V2.5 | Ikke brugt | 0 dage |
| Qwen3.8 Max | Ikke brugt | 0 dage |
| Qwen3.7 Max | Ikke brugt | 0 dage |
| Qwen3.7 Plus | Ikke brugt | 0 dage |
| Qwen3.6 Plus | Ikke brugt | 0 dage |
+7 -1
View File
@@ -62,6 +62,7 @@ Die aktuelle Liste der Modelle umfasst:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -98,7 +99,8 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -116,6 +118,7 @@ Die Schätzungen basieren auf beobachteten Anfragemustern:
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
- MiniMax M2.7 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- Qwen3.8 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
- Qwen3.7 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
- Qwen3.7 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
- Qwen3.6 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
@@ -140,6 +143,7 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -197,6 +201,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -229,6 +234,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Nicht verwendet | 0 Tage |
| MiMo-V2.5-Pro | Nicht verwendet | 0 Tage |
| MiMo-V2.5 | Nicht verwendet | 0 Tage |
| Qwen3.8 Max | Nicht verwendet | 0 Tage |
| Qwen3.7 Max | Nicht verwendet | 0 Tage |
| Qwen3.7 Plus | Nicht verwendet | 0 Tage |
| Qwen3.6 Plus | Nicht verwendet | 0 Tage |
+7 -1
View File
@@ -70,6 +70,7 @@ La lista actual de modelos incluye:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -106,7 +107,8 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -124,6 +126,7 @@ Las estimaciones se basan en los patrones de peticiones observados:
- DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
- MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
- MiniMax M2.7 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- Qwen3.8 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
- Qwen3.7 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
- Qwen3.7 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
- Qwen3.6 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
@@ -148,6 +151,7 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -207,6 +211,7 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -241,6 +246,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | No utilizado | 0 días |
| MiMo-V2.5-Pro | No utilizado | 0 días |
| MiMo-V2.5 | No utilizado | 0 días |
| Qwen3.8 Max | No utilizado | 0 días |
| Qwen3.7 Max | No utilizado | 0 días |
| Qwen3.7 Plus | No utilizado | 0 días |
| Qwen3.6 Plus | No utilizado | 0 días |
+7 -1
View File
@@ -60,6 +60,7 @@ La liste actuelle des modèles comprend :
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -114,6 +116,7 @@ Les estimations sont basées sur les schémas de requêtes observés :
- DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
- MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
- MiniMax M2.7 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- Qwen3.8 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
- Qwen3.7 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
- Qwen3.7 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
- Qwen3.6 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
@@ -138,6 +141,7 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Non utilisé | 0 jour |
| MiMo-V2.5-Pro | Non utilisé | 0 jour |
| MiMo-V2.5 | Non utilisé | 0 jour |
| Qwen3.8 Max | Non utilisé | 0 jour |
| Qwen3.7 Max | Non utilisé | 0 jour |
| Qwen3.7 Plus | Non utilisé | 0 jour |
| Qwen3.6 Plus | Non utilisé | 0 jour |
+7 -1
View File
@@ -70,6 +70,7 @@ The current list of models includes:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -106,7 +107,8 @@ The table below provides an estimated request count based on typical Go usage pa
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -126,6 +128,7 @@ The estimates are based on observed request patterns:
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens per request
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens per request
- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@@ -148,6 +151,7 @@ The estimates are also based on the following prices per 1M tokens and the month
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -207,6 +211,7 @@ You can also access Go models through the following API endpoints.
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -241,6 +246,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Not used | 0 days |
| MiMo-V2.5-Pro | Not used | 0 days |
| MiMo-V2.5 | Not used | 0 days |
| Qwen3.8 Max | Not used | 0 days |
| Qwen3.7 Max | Not used | 0 days |
| Qwen3.7 Plus | Not used | 0 days |
| Qwen3.6 Plus | Not used | 0 days |
+7 -1
View File
@@ -68,6 +68,7 @@ L'elenco attuale dei modelli include:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -104,7 +105,8 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -122,6 +124,7 @@ Le stime si basano sui pattern di richieste osservati:
- DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
- MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
- MiniMax M2.7 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- Qwen3.8 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
- Qwen3.7 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
- Qwen3.7 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
- Qwen3.6 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
@@ -146,6 +149,7 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -205,6 +209,7 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -239,6 +244,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Non utilizzato | 0 giorni |
| MiMo-V2.5-Pro | Non utilizzato | 0 giorni |
| MiMo-V2.5 | Non utilizzato | 0 giorni |
| Qwen3.8 Max | Non utilizzato | 0 giorni |
| Qwen3.7 Max | Non utilizzato | 0 giorni |
| Qwen3.7 Plus | Non utilizzato | 0 giorni |
| Qwen3.6 Plus | Non utilizzato | 0 giorni |
+7 -1
View File
@@ -60,6 +60,7 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ OpenCode Goには以下の制限が含まれています:
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -114,6 +116,7 @@ OpenCode Goには以下の制限が含まれています:
- DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
- MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
- MiniMax M2.7 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
- Qwen3.8 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
- Qwen3.7 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
- Qwen3.7 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
- Qwen3.6 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
@@ -138,6 +141,7 @@ OpenCode Goには以下の制限が含まれています:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ Goでは月額$10を支払い、その6倍の利用枠を提供することを
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | 使用なし | 0日 |
| MiMo-V2.5-Pro | 使用なし | 0日 |
| MiMo-V2.5 | 使用なし | 0日 |
| Qwen3.8 Max | 使用なし | 0日 |
| Qwen3.7 Max | 使用なし | 0日 |
| Qwen3.7 Plus | 使用なし | 0日 |
| Qwen3.6 Plus | 使用なし | 0日 |
+7 -1
View File
@@ -60,6 +60,7 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -114,6 +116,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
- DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
- MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
- MiniMax M2.7 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- Qwen3.8 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.7 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
@@ -138,6 +141,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | 사용되지 않음 | 0일 |
| MiMo-V2.5-Pro | 사용되지 않음 | 0일 |
| MiMo-V2.5 | 사용되지 않음 | 0일 |
| Qwen3.8 Max | 사용되지 않음 | 0일 |
| Qwen3.7 Max | 사용되지 않음 | 0일 |
| Qwen3.7 Plus | 사용되지 않음 | 0일 |
| Qwen3.6 Plus | 사용되지 않음 | 0일 |
+7 -1
View File
@@ -70,6 +70,7 @@ Den nåværende listen over modeller inkluderer:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -106,7 +107,8 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -124,6 +126,7 @@ Estimatene er basert på observerte forespørselsmønstre:
- DeepSeek V4 Flash — 790 input, 68 000 bufret, 280 output-tokens per forespørsel
- MiniMax M3 — 510 input, 56 000 bufret, 190 output-tokens per forespørsel
- MiniMax M2.7 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- Qwen3.8 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
- Qwen3.7 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
- Qwen3.7 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
- Qwen3.6 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
@@ -148,6 +151,7 @@ Estimatene er også basert på følgende priser per 1M tokens og den månedlige
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -207,6 +211,7 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -241,6 +246,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Brukes ikke | 0 dager |
| MiMo-V2.5-Pro | Brukes ikke | 0 dager |
| MiMo-V2.5 | Brukes ikke | 0 dager |
| Qwen3.8 Max | Brukes ikke | 0 dager |
| Qwen3.7 Max | Brukes ikke | 0 dager |
| Qwen3.7 Plus | Brukes ikke | 0 dager |
| Qwen3.6 Plus | Brukes ikke | 0 dager |
+7 -1
View File
@@ -64,6 +64,7 @@ Obecna lista modeli obejmuje:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -100,7 +101,8 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -118,6 +120,7 @@ Szacunki te opierają się na zaobserwowanych wzorcach żądań:
- DeepSeek V4 Flash — 790 tokenów wejściowych, 68 000 w pamięci podręcznej, 280 tokenów wyjściowych na żądanie
- MiniMax M3 — 510 tokenów wejściowych, 56 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
- MiniMax M2.7 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- Qwen3.8 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Qwen3.7 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Qwen3.7 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
- Qwen3.6 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
@@ -142,6 +145,7 @@ Szacunki opierają się również na następujących cenach za 1M tokenów oraz
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -199,6 +203,7 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -233,6 +238,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Niewykorzystywane | 0 dni |
| MiMo-V2.5-Pro | Niewykorzystywane | 0 dni |
| MiMo-V2.5 | Niewykorzystywane | 0 dni |
| Qwen3.8 Max | Niewykorzystywane | 0 dni |
| Qwen3.7 Max | Niewykorzystywane | 0 dni |
| Qwen3.7 Plus | Niewykorzystywane | 0 dni |
| Qwen3.6 Plus | Niewykorzystywane | 0 dni |
+7 -1
View File
@@ -70,6 +70,7 @@ A lista atual de modelos inclui:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -106,7 +107,8 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -124,6 +126,7 @@ As estimativas se baseiam nos padrões de requisições observados:
- DeepSeek V4 Flash — 790 tokens de entrada, 68.000 em cache, 280 tokens de saída por requisição
- MiniMax M3 — 510 tokens de entrada, 56.000 em cache, 190 tokens de saída por requisição
- MiniMax M2.7 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- Qwen3.8 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
- Qwen3.7 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
- Qwen3.7 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
- Qwen3.6 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
@@ -148,6 +151,7 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso m
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -207,6 +211,7 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -241,6 +246,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Não usado | 0 dias |
| MiMo-V2.5-Pro | Não usado | 0 dias |
| MiMo-V2.5 | Não usado | 0 dias |
| Qwen3.8 Max | Não usado | 0 dias |
| Qwen3.7 Max | Não usado | 0 dias |
| Qwen3.7 Plus | Não usado | 0 dias |
| Qwen3.6 Plus | Não usado | 0 dias |
+7 -1
View File
@@ -70,6 +70,7 @@ OpenCode Go работает так же, как и любой другой пр
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -106,7 +107,8 @@ OpenCode Go включает следующие лимиты:
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -124,6 +126,7 @@ OpenCode Go включает следующие лимиты:
- DeepSeek V4 Flash — 790 входных, 68,000 кешированных, 280 выходных токенов на запрос
- MiniMax M3 — 510 входных, 56,000 кешированных, 190 выходных токенов на запрос
- MiniMax M2.7 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- Qwen3.8 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
- Qwen3.7 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
- Qwen3.7 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
- Qwen3.6 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
@@ -148,6 +151,7 @@ OpenCode Go включает следующие лимиты:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -207,6 +211,7 @@ OpenCode Go включает следующие лимиты:
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -241,6 +246,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Не используется | 0 дней |
| MiMo-V2.5-Pro | Не используется | 0 дней |
| MiMo-V2.5 | Не используется | 0 дней |
| Qwen3.8 Max | Не используется | 0 дней |
| Qwen3.7 Max | Не используется | 0 дней |
| Qwen3.7 Plus | Не используется | 0 дней |
| Qwen3.6 Plus | Не используется | 0 дней |
+7 -1
View File
@@ -60,6 +60,7 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -114,6 +116,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens ต่อ request
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens ต่อ request
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
@@ -138,6 +141,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | ไม่นำไปใช้ | 0 วัน |
| MiMo-V2.5-Pro | ไม่นำไปใช้ | 0 วัน |
| MiMo-V2.5 | ไม่นำไปใช้ | 0 วัน |
| Qwen3.8 Max | ไม่นำไปใช้ | 0 วัน |
| Qwen3.7 Max | ไม่นำไปใช้ | 0 วัน |
| Qwen3.7 Plus | ไม่นำไปใช้ | 0 วัน |
| Qwen3.6 Plus | ไม่นำไปใช้ | 0 วัน |
+7 -1
View File
@@ -60,6 +60,7 @@ Mevcut model listesi şunları içerir:
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -114,6 +116,7 @@ Tahminler, gözlemlenen istek modellerine dayanır:
- DeepSeek V4 Flash — İstek başına 790 girdi, 68.000 önbelleğe alınmış, 280 çıktı token'ı
- MiniMax M3 — İstek başına 510 girdi, 56.000 önbelleğe alınmış, 190 çıktı token'ı
- MiniMax M2.7 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- Qwen3.8 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
- Qwen3.7 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
- Qwen3.7 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
- Qwen3.6 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
@@ -138,6 +141,7 @@ Tahminler ayrıca 1M token başına aşağıdaki fiyatlara ve her modelle birlik
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | Kullanılmaz | 0 gün |
| MiMo-V2.5-Pro | Kullanılmaz | 0 gün |
| MiMo-V2.5 | Kullanılmaz | 0 gün |
| Qwen3.8 Max | Kullanılmaz | 0 gün |
| Qwen3.7 Max | Kullanılmaz | 0 gün |
| Qwen3.7 Plus | Kullanılmaz | 0 gün |
| Qwen3.6 Plus | Kullanılmaz | 0 gün |
+7 -1
View File
@@ -60,6 +60,7 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ OpenCode Go 包含以下限制:
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -116,6 +118,7 @@ OpenCode Go 包含以下限制:
- MiMo-V2.5-Pro — 每次请求 790 个输入 token86,000 个缓存 token305 个输出 token
- MiniMax M3 — 每次请求 510 个输入 token56,000 个缓存 token190 个输出 token
- MiniMax M2.7 — 每次请求 300 个输入 token55,000 个缓存 token125 个输出 token
- Qwen3.8 Max — 每次请求 420 个输入 token66,000 个缓存 token200 个输出 token
- Qwen3.7 Max — 每次请求 420 个输入 token66,000 个缓存 token200 个输出 token
- Qwen3.7 Plus — 每次请求 500 个输入 token57,000 个缓存 token190 个输出 token
- Qwen3.6 Plus — 每次请求 500 个输入 token57,000 个缓存 token190 个输出 token
@@ -138,6 +141,7 @@ OpenCode Go 包含以下限制:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ OpenCode Go 包含以下限制:
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | 不使用 | 0 天 |
| MiMo-V2.5-Pro | 不使用 | 0 天 |
| MiMo-V2.5 | 不使用 | 0 天 |
| Qwen3.8 Max | 不使用 | 0 天 |
| Qwen3.7 Max | 不使用 | 0 天 |
| Qwen3.7 Plus | 不使用 | 0 天 |
| Qwen3.6 Plus | 不使用 | 0 天 |
+7 -1
View File
@@ -60,6 +60,7 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **MiMo-V2.5-Pro**
- **MiniMax M3**
- **MiniMax M2.7**
- **Qwen3.8 Max**
- **Qwen3.7 Max**
- **Qwen3.7 Plus**
- **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ OpenCode Go 包含以下限制:
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -114,6 +116,7 @@ OpenCode Go 包含以下限制:
- DeepSeek V4 Flash — 每次請求 790 個輸入 token、68,000 個快取 token、280 個輸出 token
- MiniMax M3 — 每次請求 510 個輸入 token、56,000 個快取 token、190 個輸出 token
- MiniMax M2.7 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- Qwen3.8 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
- Qwen3.7 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
- Qwen3.7 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
- Qwen3.6 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
@@ -138,6 +141,7 @@ OpenCode Go 包含以下限制:
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
@@ -195,6 +199,7 @@ OpenCode Go 包含以下限制:
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
@@ -227,6 +232,7 @@ https://opencode.ai/zen/go/v1/models
| Kimi K2.6 | 不使用 | 0 天 |
| MiMo-V2.5-Pro | 不使用 | 0 天 |
| MiMo-V2.5 | 不使用 | 0 天 |
| Qwen3.8 Max | 不使用 | 0 天 |
| Qwen3.7 Max | 不使用 | 0 天 |
| Qwen3.7 Plus | 不使用 | 0 天 |
| Qwen3.6 Plus | 不使用 | 0 天 |