Compare commits

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7 Commits

Author SHA1 Message Date
Aiden Cline e8aa4bfc04 fix: bedrock bug 2026-06-05 09:04:55 -05:00
Shoubhit Dash 0ee7cfa1fe fix(core): recover corrupted models cache (#30947) 2026-06-05 18:07:09 +05:30
weiconghe a261b55e43 fix: use mapError instead of orDie for context snapshot decoding (#30905)
Co-authored-by: Shoubhit Dash <shoubhit2005@gmail.com>
2026-06-05 18:07:00 +05:30
Shoubhit Dash a136caa1b3 chore: rm fuzzy search on references (#30931) 2026-06-05 16:57:39 +05:30
Shoubhit Dash 7a4d18390a feat(tui): add diff hunk navigation (#30935) 2026-06-05 16:56:53 +05:30
opencode-agent[bot] edbe2280a5 chore: generate 2026-06-05 11:23:14 +00:00
Jack d721fc0a49 docs: update Go Qwen tiered pricing (#30936) 2026-06-05 19:21:46 +08:00
37 changed files with 847 additions and 666 deletions
+88 -70
View File
@@ -260,7 +260,7 @@
"@ai-sdk/togetherai": "2.0.41",
"@ai-sdk/vercel": "2.0.39",
"@ai-sdk/xai": "3.0.82",
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"@aws-sdk/credential-providers": "3.993.0",
"@effect/opentelemetry": "catalog:",
"@effect/platform-node": "catalog:",
"@effect/sql-sqlite-bun": "catalog:",
@@ -509,7 +509,7 @@
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"@clack/prompts": "1.0.0-alpha.1",
"@effect/opentelemetry": "catalog:",
"@effect/platform-node": "catalog:",
@@ -882,9 +882,19 @@
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"@aws-sdk/credential-provider-web-identity": "3.972.29",
"@opentui/core": "catalog:",
"@opentui/keymap": "catalog:",
"@opentui/solid": "catalog:",
"@smithy/shared-ini-file-loader": "4.4.8",
"@types/bun": "catalog:",
"@types/node": "catalog:",
},
@@ -1068,7 +1078,7 @@
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"@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-web-identity/@aws-sdk/nested-clients/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
"@aws-sdk/credential-provider-process/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
"@aws-sdk/credential-provider-sso/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
@@ -6972,7 +6990,7 @@
"@aws-sdk/client-lambda/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"@aws-sdk/client-sts/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/token-providers/@aws-sdk/nested-clients": ["@aws-sdk/nested-clients@3.782.0", "", { "dependencies": { "@aws-crypto/sha256-browser": "5.2.0", "@aws-crypto/sha256-js": "5.2.0", "@aws-sdk/core": "3.775.0", "@aws-sdk/middleware-host-header": "3.775.0", "@aws-sdk/middleware-logger": "3.775.0", "@aws-sdk/middleware-recursion-detection": "3.775.0", "@aws-sdk/middleware-user-agent": "3.782.0", "@aws-sdk/region-config-resolver": "3.775.0", "@aws-sdk/types": "3.775.0", "@aws-sdk/util-endpoints": "3.782.0", "@aws-sdk/util-user-agent-browser": "3.775.0", "@aws-sdk/util-user-agent-node": "3.782.0", "@smithy/config-resolver": "^4.1.0", "@smithy/core": "^3.2.0", "@smithy/fetch-http-handler": "^5.0.2", "@smithy/hash-node": "^4.0.2", "@smithy/invalid-dependency": "^4.0.2", "@smithy/middleware-content-length": "^4.0.2", "@smithy/middleware-endpoint": "^4.1.0", "@smithy/middleware-retry": "^4.1.0", "@smithy/middleware-serde": "^4.0.3", "@smithy/middleware-stack": "^4.0.2", "@smithy/node-config-provider": "^4.0.2", "@smithy/node-http-handler": "^4.0.4", "@smithy/protocol-http": "^5.1.0", "@smithy/smithy-client": "^4.2.0", "@smithy/types": "^4.2.0", "@smithy/url-parser": "^4.0.2", "@smithy/util-base64": "^4.0.0", "@smithy/util-body-length-browser": "^4.0.0", "@smithy/util-body-length-node": "^4.0.0", "@smithy/util-defaults-mode-browser": "^4.0.8", "@smithy/util-defaults-mode-node": "^4.0.8", "@smithy/util-endpoints": "^3.0.2", "@smithy/util-middleware": "^4.0.2", "@smithy/util-retry": "^4.0.2", "@smithy/util-utf8": "^4.0.0", "tslib": "^2.6.2" } }, "sha512-QOYC8q7luzHFXrP0xYAqBctoPkynjfV0r9dqntFu4/IWMTyC1vlo1UTxFAjIPyclYw92XJyEkVCVg9v/nQnsUA=="],
"@aws-sdk/credential-provider-cognito-identity/@aws-sdk/nested-clients/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
"@aws-sdk/credential-provider-env/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
@@ -6982,8 +7000,6 @@
"@aws-sdk/credential-provider-login/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/token-providers/@aws-sdk/nested-clients/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
"@aws-sdk/credential-provider-process/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"@aws-sdk/credential-provider-sso/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
@@ -7032,6 +7048,8 @@
"tw-to-css/tailwindcss/chokidar/readdirp/picomatch": ["picomatch@2.3.2", "", {}, "sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA=="],
"@aws-sdk/credential-provider-cognito-identity/@aws-sdk/nested-clients/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"archiver-utils/glob/jackspeak/@isaacs/cliui/string-width/emoji-regex": ["emoji-regex@9.2.2", "", {}, "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="],
"archiver-utils/glob/jackspeak/@isaacs/cliui/wrap-ansi/ansi-styles": ["ansi-styles@6.2.3", "", {}, "sha512-4Dj6M28JB+oAH8kFkTLUo+a2jwOFkuqb3yucU0CANcRRUbxS0cP0nZYCGjcc3BNXwRIsUVmDGgzawme7zvJHvg=="],
+10
View File
@@ -133,9 +133,19 @@
"electron"
],
"overrides": {
"@aws-sdk/credential-provider-cognito-identity": "3.972.22",
"@aws-sdk/credential-provider-env": "3.972.25",
"@aws-sdk/credential-provider-http": "3.972.27",
"@aws-sdk/credential-provider-ini": "3.972.29",
"@aws-sdk/credential-provider-login": "3.972.29",
"@aws-sdk/credential-provider-node": "3.972.30",
"@aws-sdk/credential-provider-process": "3.972.25",
"@aws-sdk/credential-provider-sso": "3.972.29",
"@aws-sdk/credential-provider-web-identity": "3.972.29",
"@opentui/core": "catalog:",
"@opentui/keymap": "catalog:",
"@opentui/solid": "catalog:",
"@smithy/shared-ini-file-loader": "4.4.8",
"@types/bun": "catalog:",
"@types/node": "catalog:"
},
+1 -1
View File
@@ -75,7 +75,7 @@
"@ai-sdk/togetherai": "2.0.41",
"@ai-sdk/vercel": "2.0.39",
"@ai-sdk/xai": "3.0.82",
"@aws-sdk/credential-providers": "3.1057.0",
"@aws-sdk/credential-providers": "3.993.0",
"@effect/opentelemetry": "catalog:",
"@effect/platform-node": "catalog:",
"@effect/sql-sqlite-bun": "catalog:",
+4 -1
View File
@@ -84,7 +84,10 @@ export namespace FSUtil {
const readJson = Effect.fn("FileSystem.readJson")(function* (path: string) {
const text = yield* fs.readFileString(path)
return JSON.parse(text)
return yield* Effect.try({
try: () => JSON.parse(text),
catch: (cause) => new FileSystemError({ method: "readJson", cause }),
})
})
const writeJson = Effect.fn("FileSystem.writeJson")(function* (path: string, data: unknown, mode?: number) {
+20 -2
View File
@@ -162,7 +162,16 @@ export const layer = Layer.effect(
})
const loadFromDisk = fs.readJson(Flag.OPENCODE_MODELS_PATH ?? filepath).pipe(
Effect.catch(() => Effect.succeed(undefined)),
Effect.catch((error) => {
if (
Flag.OPENCODE_MODELS_PATH === undefined &&
error._tag === "FileSystemError" &&
error.method === "readJson"
) {
return fs.remove(filepath, { force: true }).pipe(Effect.ignore, Effect.as(undefined))
}
return Effect.succeed(undefined)
}),
Effect.map((v) => v as Record<string, Provider> | undefined),
)
@@ -172,7 +181,16 @@ export const layer = Layer.effect(
const fetchAndWrite = Effect.fn("ModelsDev.fetchAndWrite")(function* () {
const text = yield* fetchApi()
yield* fs.writeWithDirs(filepath, text)
const tempfile = `${filepath}.${process.pid}.${Date.now()}.tmp`
yield* fs.writeWithDirs(tempfile, text).pipe(
Effect.andThen(fs.rename(tempfile, filepath)),
Effect.catch((error) =>
Effect.gen(function* () {
yield* fs.remove(tempfile, { force: true }).pipe(Effect.ignore)
return yield* Effect.fail(error)
}),
),
)
return text
})
+1 -1
View File
@@ -92,7 +92,7 @@ export class OperationUnavailableError extends Schema.TaggedErrorClass<Operation
},
) {}
export { MessageDecodeError } from "./session/error"
export { ContextSnapshotDecodeError, MessageDecodeError } from "./session/error"
export class PromptConflictError extends Schema.TaggedErrorClass<PromptConflictError>()("Session.PromptConflictError", {
sessionID: SessionSchema.ID,
+5 -2
View File
@@ -7,6 +7,7 @@ import { EventV2 } from "../event"
import { Location } from "../location"
import { SystemContext } from "../system-context"
import { SystemContextRegistry } from "../system-context-registry"
import { ContextSnapshotDecodeError } from "./error"
import { SessionEvent } from "./event"
import { SessionInput } from "./input"
import { SessionMessageID } from "./message-id"
@@ -49,7 +50,7 @@ export function prepare(
context: SystemContextRegistry.Interface,
sessionID: SessionSchema.ID,
location: Location.Ref,
): Effect.Effect<Prepared, SystemContext.InitializationBlocked> {
): Effect.Effect<Prepared, SystemContext.InitializationBlocked | ContextSnapshotDecodeError> {
return retryRevisionMismatch(() => prepareOnce(db, events, context, sessionID, location)).pipe(
Effect.withSpan("SessionContextEpoch.prepare"),
)
@@ -69,7 +70,9 @@ const prepareOnce = Effect.fnUntraced(function* (
return { baseline: generation.baseline, baselineSeq }
}
const snapshot = yield* Schema.decodeUnknownEffect(SystemContext.Snapshot)(stored.snapshot).pipe(Effect.orDie)
const snapshot = yield* Schema.decodeUnknownEffect(SystemContext.Snapshot)(stored.snapshot).pipe(
Effect.mapError((error) => new ContextSnapshotDecodeError({ sessionID, details: String(error) })),
)
const result =
stored.replacement_seq === null
? yield* SystemContext.reconcile(value, snapshot)
+12
View File
@@ -6,3 +6,15 @@ export class MessageDecodeError extends Schema.TaggedErrorClass<MessageDecodeErr
sessionID: SessionSchema.ID,
messageID: SessionMessage.ID,
}) {}
export class ContextSnapshotDecodeError extends Schema.TaggedErrorClass<ContextSnapshotDecodeError>()(
"Session.ContextSnapshotDecodeError",
{
sessionID: SessionSchema.ID,
details: Schema.String,
},
) {
override get message() {
return `Failed to decode context snapshot for session ${this.sessionID}: ${this.details}`
}
}
+2 -1
View File
@@ -3,7 +3,7 @@ export * as SessionRunner from "./index"
import type { LLMError } from "@opencode-ai/llm"
import { Context, Effect, Schema } from "effect"
import { SessionSchema } from "../schema"
import type { MessageDecodeError } from "../error"
import type { ContextSnapshotDecodeError, MessageDecodeError } from "../error"
import { SessionRunnerModel } from "./model"
import type { SystemContext } from "../../system-context"
@@ -19,6 +19,7 @@ export type RunError =
| LLMError
| SessionRunnerModel.Error
| MessageDecodeError
| ContextSnapshotDecodeError
| StepLimitExceededError
| SystemContext.InitializationBlocked
@@ -109,6 +109,21 @@ describe("FSUtil", () => {
expect(result).toEqual(data)
}),
)
it(
"fails invalid JSON through the error channel",
Effect.gen(function* () {
const fs = yield* FSUtil.Service
const filesys = yield* FileSystem.FileSystem
const tmp = yield* filesys.makeTempDirectoryScoped()
const file = path.join(tmp, "broken.json")
yield* filesys.writeFileString(file, "{")
const result = yield* fs.readJson(file).pipe(Effect.catch((error) => Effect.succeed(error)))
expect(result).toHaveProperty("_tag", "FileSystemError")
}),
)
})
describe("ensureDir", () => {
+30 -3
View File
@@ -7,7 +7,7 @@ import { Global } from "@opencode-ai/core/global"
import { ModelsDev } from "@opencode-ai/core/models-dev"
import { EventV2 } from "@opencode-ai/core/event"
import { it } from "./lib/effect"
import { rm, writeFile, utimes, mkdir } from "fs/promises"
import { readFile, rm, writeFile, utimes, mkdir } from "fs/promises"
import path from "path"
// test/preload.ts pins OPENCODE_MODELS_PATH to a fixture so other tests can
@@ -96,16 +96,18 @@ const buildLayer = (state: Ref.Ref<MockState>) =>
Layer.provide(EventV2.defaultLayer),
)
const writeCache = (data: object, mtimeMs?: number) =>
const writeCacheText = (text: string, mtimeMs?: number) =>
Effect.promise(async () => {
await mkdir(Global.Path.cache, { recursive: true })
await writeFile(cacheFile, JSON.stringify(data))
await writeFile(cacheFile, text)
if (mtimeMs !== undefined) {
const t = mtimeMs / 1000
await utimes(cacheFile, t, t)
}
})
const writeCache = (data: object, mtimeMs?: number) => writeCacheText(JSON.stringify(data), mtimeMs)
const provided = <A, E>(state: Ref.Ref<MockState>, eff: Effect.Effect<A, E, ModelsDev.Service>) =>
eff.pipe(Effect.provide(buildLayer(state)))
@@ -151,6 +153,31 @@ describe("ModelsDev Service", () => {
}),
)
it.live("get() recovers from a corrupted cache file by fetching a fresh catalog", () =>
Effect.gen(function* () {
yield* writeCacheText("{")
const state = yield* Ref.make({ ...initialState, body: JSON.stringify(fixture2) })
const result = yield* Effect.acquireUseRelease(
Effect.sync(() => {
Flag.OPENCODE_DISABLE_MODELS_FETCH = false
}),
() =>
provided(
state,
ModelsDev.Service.use((s) => s.get()),
),
() =>
Effect.sync(() => {
Flag.OPENCODE_DISABLE_MODELS_FETCH = true
}),
)
expect(result).toEqual(fixture2)
expect(yield* Effect.promise(() => readFile(cacheFile, "utf8"))).toBe(JSON.stringify(fixture2))
const final = yield* Ref.get(state)
expect(final.calls.length).toBe(1)
}),
)
it.live("get() is single-flight under concurrent calls", () =>
Effect.gen(function* () {
yield* writeCache(fixture)
+26
View File
@@ -19,6 +19,7 @@ import { ProjectTable } from "@opencode-ai/core/project/sql"
import { QuestionV2 } from "@opencode-ai/core/question"
import { AbsolutePath } from "@opencode-ai/core/schema"
import { SessionV2 } from "@opencode-ai/core/session"
import { ContextSnapshotDecodeError } from "@opencode-ai/core/session/error"
import { SessionEvent } from "@opencode-ai/core/session/event"
import { SessionInput } from "@opencode-ai/core/session/input"
import { SessionMessage } from "@opencode-ai/core/session/message"
@@ -631,6 +632,31 @@ describe("SessionRunnerLLM", () => {
}),
)
it.effect("fails gracefully when a stored context snapshot cannot be decoded", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
const { db } = yield* Database.Service
yield* session.prompt({ sessionID, prompt: new Prompt({ text: "First" }), resume: false })
response = []
yield* session.resume(sessionID)
yield* db
.update(SessionContextEpochTable)
.set({ snapshot: { invalid: { value: "bad" } } })
.where(eq(SessionContextEpochTable.session_id, sessionID))
.run()
.pipe(Effect.orDie)
yield* session.prompt({ sessionID, prompt: new Prompt({ text: "Second" }), resume: false })
requests.length = 0
const exit = yield* session.resume(sessionID).pipe(Effect.exit)
expect(Exit.isFailure(exit)).toBe(true)
if (Exit.isFailure(exit)) expect(Cause.squash(exit.cause)).toBeInstanceOf(ContextSnapshotDecodeError)
expect(requests).toHaveLength(0)
}),
)
it.effect("does not create a source Location epoch after a concurrent Session move", () =>
Effect.gen(function* () {
yield* setup
+1 -1
View File
@@ -75,7 +75,7 @@
"@ai-sdk/togetherai": "2.0.41",
"@ai-sdk/vercel": "2.0.39",
"@ai-sdk/xai": "3.0.82",
"@aws-sdk/credential-providers": "3.1057.0",
"@aws-sdk/credential-providers": "3.993.0",
"@clack/prompts": "1.0.0-alpha.1",
"@effect/opentelemetry": "catalog:",
"@effect/platform-node": "catalog:",
@@ -271,47 +271,6 @@ export function Autocomplete(props: {
}
}
function createReferenceFilePart(input: {
alias: string
root: string
item: string
lineRange?: { startLine: number; endLine?: number }
}) {
const filename = `${input.alias}/${
input.lineRange && !input.item.endsWith("/")
? `${input.item}#${input.lineRange.startLine}${input.lineRange.endLine ? `-${input.lineRange.endLine}` : ""}`
: input.item
}`
const urlObj = pathToFileURL(path.join(input.root, input.item))
if (input.lineRange && !input.item.endsWith("/")) {
urlObj.searchParams.set("start", String(input.lineRange.startLine))
if (input.lineRange.endLine !== undefined) {
urlObj.searchParams.set("end", String(input.lineRange.endLine))
}
}
return {
filename,
url: urlObj.href,
part: {
type: "file" as const,
mime: input.item.endsWith("/") ? "application/x-directory" : "text/plain",
filename,
url: urlObj.href,
source: {
type: "file" as const,
text: {
start: 0,
end: 0,
value: "",
},
path: filename,
},
},
}
}
function referencePromptText(reference: Reference.Resolved) {
const problem = reference.kind === "invalid" ? reference.message : undefined
return [
@@ -336,18 +295,12 @@ export function Autocomplete(props: {
}),
)
const referenceSearch = createMemo(() => {
const referenceMatch = createMemo(() => {
if (!store.visible || store.visible === "/") return
const { lineRange, baseQuery } = extractLineRange(search())
const { baseQuery } = extractLineRange(search())
const slash = baseQuery.indexOf("/")
if (slash === -1) return
const reference = references().find((item) => item.name === baseQuery.slice(0, slash))
if (!reference || reference.kind === "invalid") return
return {
reference,
query: baseQuery.slice(slash + 1),
lineRange,
}
const alias = slash === -1 ? baseQuery : baseQuery.slice(0, slash)
return references().find((item) => item.name === alias)
})
function normalizeMentionPath(filePath: string) {
@@ -380,7 +333,7 @@ export function Autocomplete(props: {
() => search(),
async (query) => {
if (!store.visible || store.visible === "/") return []
if (referenceSearch()) return []
if (referenceMatch()) return []
const { lineRange, baseQuery } = extractLineRange(query ?? "")
@@ -430,43 +383,6 @@ export function Autocomplete(props: {
},
)
const [referenceFiles] = createResource(
() => referenceSearch(),
async (match) => {
if (!match) return []
const result = await sdk.client.find.files({
directory: match.reference.path,
query: match.query,
limit: 50,
})
if (result.error || !result.data) return []
const width = props.anchor().width - 4
return result.data.map((item): AutocompleteOption => {
const { filename, part } = createReferenceFilePart({
alias: match.reference.name,
root: match.reference.path,
item,
lineRange: match.lineRange,
})
return {
display: Locale.truncateMiddle(filename, width),
value: filename,
isDirectory: item.endsWith("/"),
path: filename,
onSelect: () => {
insertPart(filename, part)
},
}
})
},
{
initialValue: [],
},
)
const mcpResources = createMemo(() => {
if (!store.visible || store.visible === "/") return []
@@ -529,8 +445,22 @@ export function Autocomplete(props: {
references().map(
(reference): AutocompleteOption => ({
display: "@" + reference.name,
description: reference.kind === "invalid" ? reference.message : " configured reference",
description: reference.kind === "invalid" ? reference.message : " dir",
onSelect: () => {
if (reference.kind !== "invalid") {
insertPart(reference.name, {
type: "file",
mime: "application/x-directory",
filename: reference.name,
url: pathToFileURL(reference.path).href,
source: {
type: "file",
text: { start: 0, end: 0, value: "" },
path: reference.name,
},
})
return
}
insertPart(reference.name, {
type: "text",
text: referencePromptText(reference),
@@ -572,16 +502,15 @@ export function Autocomplete(props: {
const options = createMemo((prev: AutocompleteOption[] | undefined) => {
const filesValue = files()
const referenceFilesValue = referenceFiles()
const referenceSearchValue = referenceSearch()
const referenceMatchValue = referenceMatch()
const agentsValue = agents()
const referenceAliasesValue = referenceAliases()
const commandsValue = commands()
const mixed: AutocompleteOption[] =
store.visible === "@"
? referenceSearchValue
? referenceFilesValue || []
? referenceMatchValue
? referenceAliasesValue.filter((item) => item.display === `@${referenceMatchValue.name}`)
: [...referenceAliasesValue, ...agentsValue, ...(filesValue || []), ...mcpResources()]
: [...commandsValue]
@@ -591,10 +520,12 @@ export function Autocomplete(props: {
return mixed
}
if ((files.loading || referenceFiles.loading) && prev && prev.length > 0) {
if (files.loading && prev && prev.length > 0) {
return prev
}
if (referenceMatchValue) return mixed
const result = fuzzysort.go(removeLineRange(searchValue), mixed, {
keys: [
(obj) => removeLineRange((obj.value ?? obj.display).trimEnd()),
@@ -65,6 +65,8 @@ export const Definitions = {
diff_expand_all: keybind("E", "Expand all diff viewer folders"),
diff_collapse: keybind("left", "Collapse diff viewer item"),
diff_switch_focus: keybind("tab", "Switch diff viewer focus"),
diff_next_hunk: keybind("]", "Jump to next diff hunk"),
diff_previous_hunk: keybind("[", "Jump to previous diff hunk"),
diff_next_file: keybind("n", "Jump to next diff file"),
diff_previous_file: keybind("p", "Jump to previous diff file"),
diff_toggle_file_tree: keybind("b", "Toggle diff viewer file tree"),
@@ -267,6 +269,8 @@ export const CommandMap = {
diff_expand_all: "diff.expand_all",
diff_collapse: "diff.collapse",
diff_switch_focus: "diff.switch_focus",
diff_next_hunk: "diff.next_hunk",
diff_previous_hunk: "diff.previous_hunk",
diff_next_file: "diff.next_file",
diff_previous_file: "diff.previous_file",
diff_toggle_file_tree: "diff.toggle_file_tree",
@@ -1,7 +1,13 @@
/** @jsxImportSource @opentui/solid */
import type { TuiPlugin, TuiPluginApi, TuiRouteCurrent } from "@opencode-ai/plugin/tui"
import type { SnapshotFileDiff, VcsFileDiff } from "@opencode-ai/sdk/v2"
import { TextAttributes, type BorderSides, type BoxRenderable, type ScrollBoxRenderable } from "@opentui/core"
import {
TextAttributes,
type BorderSides,
type BoxRenderable,
type DiffRenderable,
type ScrollBoxRenderable,
} from "@opentui/core"
import { LANGUAGE_EXTENSIONS } from "@/lsp/language"
import { useBindings, useCommandShortcut } from "@tui/keymap"
import { useTheme } from "@tui/context/theme"
@@ -40,6 +46,7 @@ const KV_VIEW = "diff_viewer_view"
type DiffMode = "git" | "last-turn"
type DiffViewerFocus = "patches" | "files"
type DiffView = "split" | "unified"
type SelectedHunk = { readonly fileIndex: number; readonly hunkIndex: number; readonly scrollTop: number }
type DiffFile = {
readonly file: string
@@ -143,6 +150,8 @@ function DiffViewer(props: { api: TuiPluginApi }) {
const patchFileIndexes = createMemo(() => orderedPatchFileIndexes(flattenFileTree(fileTree())))
const focusRunner = (input: Record<DiffViewerFocus, () => void>) => () => input[focus()]()
const switchFocusShortcut = useCommandShortcut("diff.switch_focus")
const nextHunkShortcut = useCommandShortcut("diff.next_hunk")
const previousHunkShortcut = useCommandShortcut("diff.previous_hunk")
const nextFileShortcut = useCommandShortcut("diff.next_file")
const previousFileShortcut = useCommandShortcut("diff.previous_file")
const toggleFileTreeShortcut = useCommandShortcut("diff.toggle_file_tree")
@@ -153,6 +162,8 @@ function DiffViewer(props: { api: TuiPluginApi }) {
const helpShortcut = useCommandShortcut("diff.help")
let scroll: ScrollBoxRenderable | undefined
const patchNodeByFileIndex = new Map<number, BoxRenderable>()
const diffNodeByFileIndex = new Map<number, DiffRenderable>()
const [selectedHunk, setSelectedHunk] = createSignal<SelectedHunk | undefined>()
const [pendingPatchScrollFileIndex, setPendingPatchScrollFileIndex] = createSignal<number | undefined>()
const [patchFillerHeight, setPatchFillerHeight] = createSignal(0)
@@ -164,6 +175,7 @@ function DiffViewer(props: { api: TuiPluginApi }) {
setLastHighlightedFileNode(undefined)
setActivePatchFileIndex(undefined)
setSelectedFileIndex(undefined)
setSelectedHunk(undefined)
setReviewedFileNames(new Set<string>())
})
@@ -189,6 +201,7 @@ function DiffViewer(props: { api: TuiPluginApi }) {
const clearFileTreePatchState = () => {
setHighlightedFileNode(undefined)
setActivePatchFileIndex(undefined)
setSelectedHunk(undefined)
}
const scrollPatchNodeToTop = (patchNode: BoxRenderable) => {
@@ -227,6 +240,7 @@ function DiffViewer(props: { api: TuiPluginApi }) {
const jumpToFileIndex = (fileIndex: number | undefined) => {
if (fileIndex === undefined) return
setSelectedHunk(undefined)
scrollToFileIndex(fileIndex)
}
@@ -248,6 +262,7 @@ function DiffViewer(props: { api: TuiPluginApi }) {
}
const jumpRelativePatchFile = (offset: number) => {
setSelectedHunk(undefined)
const next = movePatchFileIndex(patchFileIndexes(), selectedFileIndex() ?? activePatchFileIndex(), offset)
if (singlePatch()) {
if (next === undefined) return
@@ -258,6 +273,38 @@ function DiffViewer(props: { api: TuiPluginApi }) {
scrollToFileIndex(next)
}
const jumpRelativeHunk = (offset: -1 | 1) => {
const patchScroll = scroll
if (!patchScroll) return
const hunks = visiblePatchFiles()
.flatMap((entry) => {
const node = diffNodeByFileIndex.get(entry.fileIndex)
if (!node || node.isDestroyed) return []
const contentY = patchScroll.scrollTop + node.y - patchScroll.viewport.y
return node.getHunkRowOffsets().map((row, hunkIndex) => ({
fileIndex: entry.fileIndex,
hunkIndex,
contentY: contentY + row,
}))
})
.sort((left, right) => left.contentY - right.contentY)
const selected = selectedHunk()
const selectedIndex =
selected?.scrollTop === patchScroll.scrollTop
? hunks.findIndex((hunk) => hunk.fileIndex === selected.fileIndex && hunk.hunkIndex === selected.hunkIndex)
: -1
const next =
selectedIndex !== -1
? hunks[selectedIndex + offset]
: offset === 1
? hunks.find((hunk) => hunk.contentY > patchScroll.scrollTop)
: hunks.findLast((hunk) => hunk.contentY < patchScroll.scrollTop)
if (!next) return
selectPatchFile(next.fileIndex)
patchScroll.scrollTo(next.contentY)
setSelectedHunk({ fileIndex: next.fileIndex, hunkIndex: next.hunkIndex, scrollTop: patchScroll.scrollTop })
}
const highlightedPatchFileIndex = () => fileRows().find((row) => row.id === highlightedFileNode())?.fileIndex
const firstPatchFileIndex = () => fileRows().find((row) => row.fileIndex !== undefined)?.fileIndex
const visiblePatchFiles = createMemo(() => {
@@ -504,6 +551,22 @@ function DiffViewer(props: { api: TuiPluginApi }) {
patches() {},
}),
},
{
name: "diff.next_hunk",
title: "Jump to next diff hunk",
category: "VCS",
run() {
jumpRelativeHunk(1)
},
},
{
name: "diff.previous_hunk",
title: "Jump to previous diff hunk",
category: "VCS",
run() {
jumpRelativeHunk(-1)
},
},
{
name: "diff.next_file",
title: "Jump to next diff file",
@@ -557,6 +620,7 @@ function DiffViewer(props: { api: TuiPluginApi }) {
title: "Toggle single patch view",
category: "VCS",
run() {
setSelectedHunk(undefined)
if (!singlePatch()) {
ensureHighlightedPatchFile()
setSinglePatch(true)
@@ -592,6 +656,7 @@ function DiffViewer(props: { api: TuiPluginApi }) {
category: "VCS",
run() {
if (!splitAvailable()) return
setSelectedHunk(undefined)
const next = view() === "split" ? "unified" : "split"
setViewOverride(next)
props.api.kv.set(KV_VIEW, next)
@@ -716,6 +781,7 @@ function DiffViewer(props: { api: TuiPluginApi }) {
<Panel flexGrow={1} minHeight={0} border="none">
<Separator axis="x" start={showFileTree() ? "edge-out" : undefined} />
<scrollbox
id="diff-viewer-patches"
ref={(element: ScrollBoxRenderable) => (scroll = element)}
flexGrow={1}
minHeight={0}
@@ -755,6 +821,8 @@ function DiffViewer(props: { api: TuiPluginApi }) {
{(patch) => (
<box border={patchLeftBorder()} borderColor={theme().border}>
<diff
id={`diff-viewer-patch-${entry.fileIndex}`}
ref={(element: DiffRenderable) => diffNodeByFileIndex.set(entry.fileIndex, element)}
diff={patch()}
view={view()}
filetype={reviewed() ? PLAIN_TEXT_FILETYPE : filetype(entry.file.file)}
@@ -808,6 +876,20 @@ function DiffViewer(props: { api: TuiPluginApi }) {
</text>
)}
</Show>
<Show when={nextHunkShortcut()}>
{(shortcut) => (
<text fg={theme().text}>
{shortcut()} <span style={{ fg: theme().textMuted }}>next hunk</span>
</text>
)}
</Show>
<Show when={previousHunkShortcut()}>
{(shortcut) => (
<text fg={theme().text}>
{shortcut()} <span style={{ fg: theme().textMuted }}>previous hunk</span>
</text>
)}
</Show>
<Show when={previousFileShortcut()}>
{(shortcut) => (
<text fg={theme().text}>
@@ -855,6 +937,16 @@ function DiffViewerHelpDialog() {
action: "Focus file tree",
description: "Move keyboard focus between the file tree and patch pane",
},
{
shortcut: useCommandShortcut("diff.next_hunk"),
action: "Next hunk",
description: "Jump to the next diff hunk",
},
{
shortcut: useCommandShortcut("diff.previous_hunk"),
action: "Previous hunk",
description: "Jump to the previous diff hunk",
},
{
shortcut: useCommandShortcut("diff.next_file"),
action: "Next file",
+56 -91
View File
@@ -145,9 +145,47 @@ export const layer = Layer.effect(
yield* state.cancel(sessionID)
})
const resolveReferenceParts = Effect.fnUntraced(function* (template: string) {
const parts: Types.DeepMutable<PromptInput["parts"]> = []
const seen = new Set<string>()
yield* Effect.forEach(
ConfigMarkdown.files(template),
Effect.fnUntraced(function* (match) {
const name = match[1]
if (!name) return
const alias = name.split("/")[0]
if (!alias || seen.has(alias)) return
const reference = yield* references.get(alias)
if (!reference) return
seen.add(alias)
const start = match.index ?? 0
const source = { value: match[0], start, end: start + match[0].length }
if (reference.kind === "invalid") {
parts.push(referenceTextPart({ reference, source }))
return
}
yield* references.ensure(reference.path)
parts.push({
type: "file",
url: pathToFileURL(reference.path).href,
filename: alias,
mime: "application/x-directory",
source: { type: "file", text: source, path: alias },
})
}),
{ concurrency: 1, discard: true },
)
return parts
})
const resolvePromptParts = Effect.fn("SessionPrompt.resolvePromptParts")(function* (template: string) {
const ctx = yield* InstanceState.context
const parts: Types.DeepMutable<PromptInput["parts"]> = [{ type: "text", text: template }]
const parts: Types.DeepMutable<PromptInput["parts"]> = [
{ type: "text", text: template },
...(yield* resolveReferenceParts(template)),
]
const files = ConfigMarkdown.files(template)
const seen = new Set<string>()
yield* Effect.forEach(
@@ -160,60 +198,7 @@ export const layer = Layer.effect(
const slash = name.indexOf("/")
const alias = slash === -1 ? name : name.slice(0, slash)
const reference = yield* references.get(alias)
if (reference) {
const start = match.index ?? 0
const source = { value: match[0], start, end: start + match[0].length }
if (reference.kind === "invalid") {
parts.push(
referenceTextPart({ reference, source, target: slash === -1 ? undefined : name.slice(slash + 1) }),
)
return
}
yield* references.ensure(reference.path)
if (slash === -1) {
parts.push(referenceTextPart({ reference, source }))
return
}
const target = name.slice(slash + 1)
const targetPath = path.resolve(reference.path, target)
if (!FSUtil.contains(reference.path, targetPath)) {
parts.push(
referenceTextPart({
reference,
source,
target,
targetPath,
problem: `Path escapes configured reference @${alias}: ${target}`,
}),
)
return
}
const info = yield* fsys.stat(targetPath).pipe(Effect.option)
if (Option.isNone(info)) {
parts.push(
referenceTextPart({
reference,
source,
target,
targetPath,
problem: `Path does not exist inside configured reference @${alias}: ${target}`,
}),
)
return
}
parts.push({
type: "file",
url: pathToFileURL(targetPath).href,
filename: name,
mime: info.value.type === "Directory" ? "application/x-directory" : "text/plain",
})
return
}
if (yield* references.get(alias)) return
const filepath = name.startsWith("~/")
? path.join(os.homedir(), name.slice(2))
@@ -770,30 +755,6 @@ export const layer = Layer.effect(
id: part.id ? PartID.make(part.id) : PartID.ascending(),
})
const referenceContextFromFilePart = Effect.fnUntraced(function* (
part: Extract<PromptInput["parts"][number], { type: "file" }>,
filepath: string,
) {
const name = part.filename?.replace(/#\d+(?:-\d*)?$/, "")
if (!name) return
const slash = name.indexOf("/")
if (slash === -1) return
const reference = yield* references.get(name.slice(0, slash))
if (!reference || reference.kind === "invalid") return
if (!FSUtil.contains(reference.path, filepath)) return
const target = path.relative(reference.path, filepath).split(path.sep).join("/")
if (!target || target.startsWith("../") || target === "..") return
return referenceTextPart({
reference,
source: part.source?.text ?? { value: `@${name}`, start: 0, end: name.length + 1 },
target,
targetPath: filepath,
})
})
const resolvePart: (part: PromptInput["parts"][number]) => Effect.Effect<Draft<SessionV1.Part>[]> = Effect.fn(
"SessionPrompt.resolveUserPart",
)(function* (part) {
@@ -876,7 +837,6 @@ export const layer = Layer.effect(
case "file:": {
log.info("file", { mime: part.mime })
const filepath = fileURLToPath(part.url)
const referenceContext = yield* referenceContextFromFilePart(part, filepath)
const mime = (yield* fsys.isDir(filepath)) ? "application/x-directory" : part.mime
const { read } = yield* registry.named()
@@ -922,9 +882,6 @@ export const layer = Layer.effect(
}
const args = { filePath: filepath, offset, limit }
const pieces: Draft<SessionV1.Part>[] = [
...(referenceContext
? [{ ...referenceContext, messageID: info.id, sessionID: input.sessionID }]
: []),
{
messageID: info.id,
sessionID: input.sessionID,
@@ -990,9 +947,6 @@ export const layer = Layer.effect(
error: new NamedError.Unknown({ message }).toObject(),
})
return [
...(referenceContext
? [{ ...referenceContext, messageID: info.id, sessionID: input.sessionID }]
: []),
{
messageID: info.id,
sessionID: input.sessionID,
@@ -1003,9 +957,6 @@ export const layer = Layer.effect(
]
}
return [
...(referenceContext
? [{ ...referenceContext, messageID: info.id, sessionID: input.sessionID }]
: []),
{
messageID: info.id,
sessionID: input.sessionID,
@@ -1025,7 +976,6 @@ export const layer = Layer.effect(
}
return [
...(referenceContext ? [{ ...referenceContext, messageID: info.id, sessionID: input.sessionID }] : []),
{
messageID: info.id,
sessionID: input.sessionID,
@@ -1071,7 +1021,22 @@ export const layer = Layer.effect(
return [{ ...part, messageID: info.id, sessionID: input.sessionID }]
})
const resolvedParts = yield* Effect.forEach(input.parts, resolvePart, { concurrency: "unbounded" }).pipe(
const submittedParts: Types.DeepMutable<PromptInput["parts"]> = [...input.parts]
const attachedReferences = new Set(
input.parts.flatMap((part) =>
part.type === "file" && part.mime === "application/x-directory" ? [part.url] : [],
),
)
for (const part of input.parts) {
if (part.type !== "text" || part.synthetic) continue
for (const reference of yield* resolveReferenceParts(part.text)) {
if (reference.type === "file" && attachedReferences.has(reference.url)) continue
if (reference.type === "file") attachedReferences.add(reference.url)
submittedParts.push(reference)
}
}
const resolvedParts = yield* Effect.forEach(submittedParts, resolvePart, { concurrency: "unbounded" }).pipe(
Effect.map((x) => x.flat().map(assign)),
)
@@ -3,6 +3,7 @@ import { expect, test } from "bun:test"
import path from "path"
import { mkdir } from "fs/promises"
import { createDefaultOpenTuiKeymap } from "@opentui/keymap/opentui"
import type { DiffRenderable, Renderable, ScrollBoxRenderable } from "@opentui/core"
import { testRender, useRenderer } from "@opentui/solid"
import { Global } from "@opencode-ai/core/global"
import type { TuiPluginApi, TuiPluginMeta, TuiRouteCurrent, TuiRouteDefinition } from "@opencode-ai/plugin/tui"
@@ -10,13 +11,98 @@ import type { Session } from "@opencode-ai/sdk/v2"
import { KVProvider } from "../../../src/cli/cmd/tui/context/kv"
import { ThemeProvider } from "../../../src/cli/cmd/tui/context/theme"
import { TuiConfigProvider } from "../../../src/cli/cmd/tui/context/tui-config"
import { TuiKeybind } from "../../../src/cli/cmd/tui/config/keybind"
import { OpencodeKeymapProvider } from "../../../src/cli/cmd/tui/keymap"
import diffViewerPlugin from "../../../src/cli/cmd/tui/feature-plugins/system/diff-viewer"
import { createTuiPluginApi } from "../../fixture/tui-plugin"
import { createTuiResolvedConfig } from "../../fixture/tui-runtime"
test("closing the diff viewer returns to the route it opened from", async () => {
const startRoute: TuiRouteCurrent = { name: "session", params: { sessionID: "session-1" } }
const viewer = await renderDiffViewer([])
try {
expect(viewer.current()).toEqual({
name: "diff",
params: { mode: "git", sessionID: "session-1", returnRoute: startRoute },
})
expect(viewer.vcsDiffInput()).toEqual({ directory: "/repo/session", mode: "git", context: 12 })
expect(viewer.commands.has("diff.close")).toBe(true)
viewer.commands.get("diff.close")!.run?.({} as never)
expect(viewer.current()).toEqual(startRoute)
} finally {
viewer.app.renderer.destroy()
}
})
test("brackets navigate diff hunks", async () => {
const viewer = await renderDiffViewer(
[
{
file: "src/file.ts",
additions: 3,
deletions: 3,
status: "modified",
patch: `--- a/src/file.ts
+++ b/src/file.ts
@@ -1,3 +1,3 @@
const first = true
-const oldFirst = true
+const newFirst = true
const afterFirst = true
@@ -20,3 +20,3 @@
const second = true
-const oldSecond = true
+const newSecond = true
const afterSecond = true
@@ -40,3 +40,3 @@
const third = true
-const oldThird = true
+const newThird = true
const afterThird = true`,
},
],
12,
)
try {
await viewer.app.waitForFrame((frame) => frame.includes("const first"))
await viewer.app.waitFor(() => Boolean(findRenderable(viewer.app.renderer.root, "diff-viewer-patches")))
await viewer.app.flush()
const scroll = findRenderable(viewer.app.renderer.root, "diff-viewer-patches") as ScrollBoxRenderable
const diff = findRenderable(viewer.app.renderer.root, "diff-viewer-patch-0") as DiffRenderable
expect(diff.getHunkRowOffsets()).toEqual([0, 4, 8])
const initial = scroll.scrollTop
expect(TuiKeybind.defaultValue("diff_next_hunk")).toBe("]")
expect(TuiKeybind.defaultValue("diff_previous_hunk")).toBe("[")
viewer.commands.get("diff.next_hunk")!.run?.({} as never)
await viewer.app.renderOnce()
const first = scroll.scrollTop
expect(first).toBeGreaterThan(initial)
viewer.commands.get("diff.next_hunk")!.run?.({} as never)
await viewer.app.renderOnce()
const second = scroll.scrollTop
expect(second).toBeGreaterThan(first)
viewer.commands.get("diff.previous_hunk")!.run?.({} as never)
await viewer.app.renderOnce()
expect(scroll.scrollTop).toBe(first)
viewer.commands.get("diff.next_hunk")!.run?.({} as never)
await viewer.app.renderOnce()
expect(scroll.scrollTop).toBe(second)
scroll.scrollTo(initial)
viewer.commands.get("diff.next_hunk")!.run?.({} as never)
await viewer.app.renderOnce()
expect(scroll.scrollTop).toBe(first)
} finally {
viewer.app.renderer.destroy()
}
})
async function renderDiffViewer(vcsDiff: unknown[], height = 20) {
const commands = new Map<
string,
NonNullable<Parameters<TuiPluginApi["keymap"]["registerLayer"]>[0]["commands"]>[number]
@@ -24,6 +110,7 @@ test("closing the diff viewer returns to the route it opened from", async () =>
let current = startRoute
let renderDiff: TuiRouteDefinition["render"] | undefined
let vcsDiffInput: unknown
const config = createTuiResolvedConfig()
await mkdir(Global.Path.state, { recursive: true })
await Bun.write(path.join(Global.Path.state, "kv.json"), "{}")
@@ -41,7 +128,7 @@ test("closing the diff viewer returns to the route it opened from", async () =>
vcs: {
diff: async (input: unknown) => {
vcsDiffInput = input
return { data: [] }
return { data: vcsDiff }
},
},
session: { diff: async () => ({ data: [] }) },
@@ -73,7 +160,7 @@ test("closing the diff viewer returns to the route it opened from", async () =>
return (
<OpencodeKeymapProvider keymap={keymap}>
<TuiConfigProvider config={createTuiResolvedConfig()}>
<TuiConfigProvider config={config}>
<KVProvider>
<ThemeProvider mode="dark">
{renderDiff?.({ params: "params" in current ? current.params : undefined })}
@@ -84,19 +171,25 @@ test("closing the diff viewer returns to the route it opened from", async () =>
)
}
const app = await testRender(() => <Harness />, { width: 80, height: 20 })
try {
await waitForCommand(app, commands, "diff.close")
expect(current).toEqual({ name: "diff", params: { mode: "git", sessionID: "session-1", returnRoute: startRoute } })
expect(vcsDiffInput).toEqual({ directory: "/repo/session", mode: "git", context: 12 })
expect(commands.has("diff.close")).toBe(true)
commands.get("diff.close")!.run?.({} as never)
expect(current).toEqual(startRoute)
} finally {
app.renderer.destroy()
const app = await testRender(() => <Harness />, { width: 80, height })
await waitForCommand(app, commands, "diff.close")
return {
app,
commands,
current: () => current,
vcsDiffInput: () => vcsDiffInput,
}
})
}
const startRoute: TuiRouteCurrent = { name: "session", params: { sessionID: "session-1" } }
function findRenderable(root: Renderable, id: string): Renderable | undefined {
if (root.id === id) return root
return root
.getChildren()
.map((child) => findRenderable(child, id))
.find(Boolean)
}
const session = {
id: "session-1",
+21 -94
View File
@@ -1969,7 +1969,7 @@ noLLMServer.instance(
)
noLLMServer.instance(
"resolves configured reference mentions before workspace paths and agents",
"resolves configured reference mentions to one root directory attachment",
() =>
Effect.gen(function* () {
const { directory: dir } = yield* TestInstance
@@ -1984,33 +1984,18 @@ noLLMServer.instance(
const parts = yield* prompt.resolvePromptParts(
"Use @docs and @docs/README.md and @docs/guide and @docs/missing.md and @docs/README.md and @build",
)
const references = parts.filter(
(part): part is SessionV1.TextPartInput =>
part.type === "text" && part.synthetic === true && part.text.startsWith("Referenced configured reference "),
)
const files = parts.filter((part): part is SessionV1.FilePartInput => part.type === "file")
const agents = parts.filter((part): part is SessionV1.AgentPartInput => part.type === "agent")
const bare = references.find((part) => part.text.includes("@docs."))
const missing = references.find((part) => part.text.includes("@docs/missing.md"))
const guide = files.find((part) => part.filename === "docs/guide")
const text = parts.find((part): part is SessionV1.TextPartInput => part.type === "text" && !part.synthetic)
expect(references.length).toBe(2)
expect(bare?.metadata?.reference).toMatchObject({
name: "docs",
kind: "local",
path: docs,
expect(text?.text).toContain("@docs")
expect(files).toHaveLength(1)
expect(files[0]).toMatchObject({
filename: "docs",
mime: "application/x-directory",
source: { type: "file", path: "docs", text: { value: "@docs" } },
})
expect(missing?.text).toContain("Path does not exist inside configured reference @docs")
expect(missing?.metadata?.reference).toMatchObject({
target: "missing.md",
targetPath: path.join(docs, "missing.md"),
})
expect(files.length).toBe(2)
expect(files.map((file) => fileURLToPath(file.url)).sort()).toEqual(
[path.join(docs, "README.md"), path.join(docs, "guide")].sort(),
)
expect(guide?.mime).toBe("application/x-directory")
expect(fileURLToPath(files[0].url)).toBe(docs)
expect(agents.map((agent) => agent.name)).toEqual(["build"])
}),
{
@@ -2024,7 +2009,7 @@ noLLMServer.instance(
)
noLLMServer.instance(
"injects metadata for bare configured reference mentions",
"stores raw reference mentions alongside directory attachments",
() =>
Effect.gen(function* () {
const { directory: dir } = yield* TestInstance
@@ -2037,83 +2022,25 @@ noLLMServer.instance(
const message = yield* prompt.prompt({
sessionID: session.id,
noReply: true,
parts: yield* prompt.resolvePromptParts("Use @docs for context"),
parts: [{ type: "text", text: "Use @docs for context" }],
})
const stored = yield* MessageV2.get({ sessionID: session.id, messageID: message.info.id })
const synthetic = stored.parts.filter(
(part): part is SessionV1.TextPart => part.type === "text" && part.synthetic === true,
)
const reference = synthetic.find((part) => part.text.startsWith("Referenced configured reference @docs."))
const files = stored.parts.filter((part): part is SessionV1.FilePart => part.type === "file")
const text = stored.parts.find((part): part is SessionV1.TextPart => part.type === "text" && !part.synthetic)
expect(reference?.metadata?.reference).toMatchObject({ name: "docs", kind: "local", path: docs })
expect(synthetic.some((part) => part.text.includes(`Reference root: ${docs}`))).toBe(true)
expect(synthetic.some((part) => part.text.includes("Inspect the configured reference"))).toBe(true)
yield* sessions.remove(session.id)
}),
{
config: {
...cfg,
reference: {
docs: "./external-docs",
},
},
},
)
noLLMServer.instance(
"injects metadata for configured reference file attachments",
() =>
Effect.gen(function* () {
const { directory: dir } = yield* TestInstance
const docs = path.join(dir, "external-docs")
const readme = path.join(docs, "README.md")
yield* ensureDir(docs)
yield* writeText(readme, "reference readme")
const prompt = yield* SessionPrompt.Service
const sessions = yield* Session.Service
const session = yield* sessions.create({})
const message = yield* prompt.prompt({
sessionID: session.id,
agent: "build",
noReply: true,
parts: [
{ type: "text", text: "Read @docs/README.md" },
{
type: "file",
mime: "text/plain",
filename: "docs/README.md",
url: pathToFileURL(readme).href,
source: {
type: "file",
path: "docs/README.md",
text: { value: "@docs/README.md", start: 5, end: 20 },
},
},
],
expect(text?.text).toBe("Use @docs for context")
expect(synthetic.some((part) => part.text.includes(JSON.stringify({ filePath: docs })))).toBe(true)
expect(files).toHaveLength(1)
expect(files[0]).toMatchObject({
filename: "docs",
mime: "application/x-directory",
source: { type: "file", path: "docs", text: { value: "@docs", start: 4, end: 9 } },
})
const stored = yield* MessageV2.get({ sessionID: session.id, messageID: message.info.id })
const synthetic = stored.parts.filter(
(part): part is SessionV1.TextPart => part.type === "text" && part.synthetic === true,
)
const reference = synthetic.find((part) =>
part.text.startsWith("Referenced configured reference @docs/README.md."),
)
expect(reference?.metadata?.reference).toMatchObject({
name: "docs",
kind: "local",
path: docs,
target: "README.md",
targetPath: readme,
source: { value: "@docs/README.md", start: 5, end: 20 },
})
expect(synthetic.findIndex((part) => part === reference)).toBeLessThan(
synthetic.findIndex((part) => part.text.startsWith("Called the Read tool with the following input:")),
)
expect(fileURLToPath(files[0].url)).toBe(docs)
yield* sessions.remove(session.id)
}),
+18 -16
View File
@@ -113,22 +113,24 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
تستند التقديرات أيضًا إلى الأسعار التالية لكل 1M tokens:
| النموذج | الإدخال | الإخراج | القراءة المخزنة | الكتابة المخزنة |
| ----------------- | ------- | ------- | --------------- | --------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| النموذج | الإدخال | الإخراج | القراءة المخزنة | الكتابة المخزنة |
| ---------------------------- | ------- | ------- | --------------- | --------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
يمكنك تتبّع استخدامك الحالي في **<a href={console}>console</a>**.
+18 -16
View File
@@ -123,22 +123,24 @@ Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
Procjene se također zasnivaju na sljedećim cijenama po 1M tokena:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Svoju trenutnu potrošnju možete pratiti u **<a href={console}>konzoli</a>**.
+18 -16
View File
@@ -123,22 +123,24 @@ Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
Estimaterne er også baseret på følgende priser pr. 1M tokens:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Du kan spore dit nuværende forbrug i **<a href={console}>konsollen</a>**.
+18 -16
View File
@@ -115,22 +115,24 @@ Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Du kannst deine aktuelle Nutzung in der **<a href={console}>Console</a>** verfolgen.
+18 -16
View File
@@ -123,22 +123,24 @@ Las estimaciones se basan en los patrones de peticiones promedio observados:
Las estimaciones también se basan en los siguientes precios por 1M tokens:
| Modelo | Entrada | Salida | Lectura en caché | Escritura en caché |
| ----------------- | ------- | ------ | ---------------- | ------------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Modelo | Entrada | Salida | Lectura en caché | Escritura en caché |
| ---------------------------- | ------- | ------ | ---------------- | ------------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Puedes realizar un seguimiento de tu uso actual en la **<a href={console}>consola</a>**.
+18 -16
View File
@@ -113,22 +113,24 @@ Les estimations sont basées sur les schémas de requêtes moyens observés :
Les estimations sont également basées sur les prix suivants par 1M tokens :
| Modèle | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Modèle | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Vous pouvez suivre votre utilisation actuelle dans la **<a href={console}>console</a>**.
+18 -16
View File
@@ -123,22 +123,24 @@ The estimates are based on observed average request patterns:
The estimates are also based on the following prices per 1M tokens:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
You can track your current usage in the **<a href={console}>console</a>**.
+18 -16
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@@ -121,22 +121,24 @@ Le stime si basano sui pattern medi di richieste osservati:
Le stime si basano anche sui seguenti prezzi per 1M token:
| Modello | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Modello | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Puoi monitorare il tuo utilizzo attuale nella **<a href={console}>console</a>**.
+18 -16
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@@ -113,22 +113,24 @@ OpenCode Goには以下の制限が含まれています:
推定値は、100万トークンあたりの以下の価格にも基づいています:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
現在の利用状況は**<a href={console}>コンソール</a>**で追跡できます。
+18 -16
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@@ -113,22 +113,24 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
이 예상치는 또한 1M tokens당 다음 가격을 기준으로 합니다.
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
현재 사용량은 **<a href={console}>console</a>**에서 확인할 수 있습니다.
+18 -16
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@@ -123,22 +123,24 @@ Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
Estimatene er også basert på følgende priser per 1M tokens:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Du kan spore din nåværende bruk i **<a href={console}>konsollen</a>**.
+18 -16
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@@ -117,22 +117,24 @@ Szacunki te opierają się na zaobserwowanych średnich wzorcach żądań:
Szacunki opierają się również na następujących cenach za 1M tokenów:
| Model | Wejście | Wyjście | Odczyt z cache | Zapis do cache |
| ----------------- | ------- | ------- | -------------- | -------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Wejście | Wyjście | Odczyt z cache | Zapis do cache |
| ---------------------------- | ------- | ------- | -------------- | -------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Możesz śledzić swoje bieżące zużycie w **<a href={console}>konsoli</a>**.
+18 -16
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@@ -123,22 +123,24 @@ As estimativas se baseiam nos padrões médios de requisições observados:
As estimativas também se baseiam nos seguintes preços por 1M tokens:
| Modelo | Entrada | Saída | Leitura em cache | Escrita em cache |
| ----------------- | ------- | ----- | ---------------- | ---------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Modelo | Entrada | Saída | Leitura em cache | Escrita em cache |
| ---------------------------- | ------- | ----- | ---------------- | ---------------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Você pode acompanhar o seu uso atual no **<a href={console}>console</a>**.
+18 -16
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@@ -123,22 +123,24 @@ OpenCode Go включает следующие лимиты:
Эти оценки также основаны на следующих ценах за 1M токенов:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Вы можете отслеживать текущее использование в **<a href={console}>консоли</a>**.
+18 -16
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@@ -113,22 +113,24 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
การประมาณการนี้ยังอ้างอิงจากราคาต่อ 1M tokens ดังต่อไปนี้:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
คุณสามารถติดตามการใช้งานปัจจุบันของคุณได้ใน **<a href={console}>console</a>**
+18 -16
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@@ -113,22 +113,24 @@ Tahminler, gözlemlenen ortalama istek modellerine dayanır:
Tahminler ayrıca 1M token başına aşağıdaki fiyatlara da dayanır:
| Model | Input | Output | Cached Read | Cached Write |
| ----------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| Model | Input | Output | Cached Read | Cached Write |
| ---------------------------- | ----- | ------ | ----------- | ------------ |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
Mevcut kullanımınızı **<a href={console}>konsoldan</a>** takip edebilirsiniz.
+18 -16
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@@ -113,22 +113,24 @@ OpenCode Go 包含以下限制:
预估值还基于以下每 1M tokens 的价格:
| 模型 | 输入 | 输出 | 缓存读取 | 缓存写入 |
| ----------------- | ----- | ----- | -------- | -------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| 模型 | 输入 | 输出 | 缓存读取 | 缓存写入 |
| ---------------------------- | ----- | ----- | -------- | -------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
你可以在 **<a href={console}>控制台</a>** 中跟踪你当前的使用情况。
+18 -16
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@@ -113,22 +113,24 @@ OpenCode Go 包含以下限制:
這些預估值也基於以下每 1M tokens 的價格:
| 模型 | 輸入 | 輸出 | 快取讀取 | 快取寫入 |
| ----------------- | ----- | ----- | -------- | -------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
| 模型 | 輸入 | 輸出 | 快取讀取 | 快取寫入 |
| ---------------------------- | ----- | ----- | -------- | -------- |
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
| GLM-5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
您可以在 **<a href={console}>console</a>** 中追蹤您目前的使用量。