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https://github.com/anomalyco/opencode.git
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47 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 5d1f39753c | |||
| f06e9491e1 | |||
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| 6c035e1fd7 | |||
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| 62387f39d4 | |||
| 864889ab9f | |||
| cc4b456129 | |||
| 14b37df391 | |||
| 91df883231 | |||
| 6fea419feb | |||
| beeabe2e4b | |||
| 502310f4df | |||
| 37fe5c83dc | |||
| dab2637217 | |||
| 39fb919a05 | |||
| 999be62662 | |||
| 521906f5fa | |||
| 069165eb5b | |||
| df09c3ec61 | |||
| 6d3ae4d63d | |||
| 284187ac55 | |||
| 7e0353cca9 | |||
| 959c8bd498 | |||
| ca3df21b7f | |||
| 8571a922db | |||
| d92d1e654b | |||
| 46a14e685a | |||
| 1f94d8a3c8 | |||
| c78986831c | |||
| d470434746 | |||
| 561afb401a | |||
| 2b8a5969e9 | |||
| 36b205370d | |||
| 6afef2f881 | |||
| 0d927ba03f | |||
| 9fdd4824d3 | |||
| d041eee55c | |||
| d62e50075a | |||
| 5d953482ab | |||
| 3a90639cb5 | |||
| b9f3b382fc | |||
| 550d1ffd24 | |||
| 941e71dbbb | |||
| d90532a595 | |||
| 0bff28de09 |
@@ -10,6 +10,7 @@ kitlangton
|
||||
kommander
|
||||
ludvigrask
|
||||
MrMushrooooom
|
||||
neriousy
|
||||
nexxeln
|
||||
R44VC0RP
|
||||
rekram1-node
|
||||
|
||||
@@ -35,6 +35,7 @@ jobs:
|
||||
|
||||
- run: bun sst deploy --stage=${{ github.ref_name }}
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ github.token }}
|
||||
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
|
||||
PLANETSCALE_SERVICE_TOKEN_NAME: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_NAME }}
|
||||
PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
|
||||
|
||||
@@ -4,7 +4,7 @@ import { tool } from "@opencode-ai/plugin"
|
||||
const TEAM = {
|
||||
tui: ["kommander", "simonklee"],
|
||||
desktop_web: ["Hona", "Brendonovich"],
|
||||
core: ["jlongster", "rekram1-node", "nexxeln", "kitlangton"],
|
||||
core: ["jlongster", "rekram1-node", "neriousy", "nexxeln", "kitlangton"],
|
||||
inference: ["fwang", "MrMushrooooom", "starptech"],
|
||||
windows: ["Hona"],
|
||||
} as const
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
},
|
||||
"packages/app": {
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@corvu/drawer": "catalog:",
|
||||
"@dnd-kit/abstract": "0.5.0",
|
||||
@@ -96,7 +96,7 @@
|
||||
},
|
||||
"packages/cli": {
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"bin": {
|
||||
"lildax": "./bin/lildax.cjs",
|
||||
},
|
||||
@@ -144,7 +144,7 @@
|
||||
},
|
||||
"packages/codemode": {
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"acorn": "8.15.0",
|
||||
"effect": "catalog:",
|
||||
@@ -158,7 +158,7 @@
|
||||
},
|
||||
"packages/console/app": {
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@ibm/plex": "6.4.1",
|
||||
@@ -194,7 +194,7 @@
|
||||
},
|
||||
"packages/console/core": {
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-sts": "3.782.0",
|
||||
"@jsx-email/render": "1.1.1",
|
||||
@@ -221,7 +221,7 @@
|
||||
},
|
||||
"packages/console/function": {
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "3.0.82",
|
||||
"@ai-sdk/openai": "3.0.48",
|
||||
@@ -243,7 +243,7 @@
|
||||
},
|
||||
"packages/console/mail": {
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
@@ -267,7 +267,7 @@
|
||||
},
|
||||
"packages/console/support": {
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@opencode-ai/console-core": "workspace:*",
|
||||
@@ -287,7 +287,7 @@
|
||||
},
|
||||
"packages/core": {
|
||||
"name": "@opencode-ai/core",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -381,7 +381,7 @@
|
||||
},
|
||||
"packages/desktop": {
|
||||
"name": "@opencode-ai/desktop",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"drizzle-orm": "catalog:",
|
||||
@@ -435,7 +435,7 @@
|
||||
},
|
||||
"packages/effect-drizzle-sqlite": {
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"drizzle-orm": "catalog:",
|
||||
"effect": "catalog:",
|
||||
@@ -449,7 +449,7 @@
|
||||
},
|
||||
"packages/effect-sqlite-node": {
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"effect": "catalog:",
|
||||
},
|
||||
@@ -461,7 +461,7 @@
|
||||
},
|
||||
"packages/enterprise": {
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@hono/standard-validator": "catalog:",
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
@@ -493,7 +493,7 @@
|
||||
},
|
||||
"packages/function": {
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@octokit/auth-app": "8.0.1",
|
||||
"@octokit/rest": "catalog:",
|
||||
@@ -509,7 +509,7 @@
|
||||
},
|
||||
"packages/http-recorder": {
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@effect/platform-node": "4.0.0-beta.83",
|
||||
"@effect/platform-node-shared": "4.0.0-beta.83",
|
||||
@@ -540,7 +540,7 @@
|
||||
},
|
||||
"packages/llm": {
|
||||
"name": "@opencode-ai/llm",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/schema": "workspace:*",
|
||||
"@smithy/eventstream-codec": "4.2.14",
|
||||
@@ -559,7 +559,7 @@
|
||||
},
|
||||
"packages/opencode": {
|
||||
"name": "opencode",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -690,7 +690,7 @@
|
||||
},
|
||||
"packages/plugin": {
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@ai-sdk/provider": "3.0.8",
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
@@ -766,7 +766,7 @@
|
||||
},
|
||||
"packages/sdk/js": {
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"cross-spawn": "catalog:",
|
||||
},
|
||||
@@ -781,7 +781,7 @@
|
||||
},
|
||||
"packages/server": {
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/protocol": "workspace:*",
|
||||
@@ -796,7 +796,7 @@
|
||||
},
|
||||
"packages/session-ui": {
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@opencode-ai/client": "file:../app/vendor/opencode-ai-client-1.17.13-v2.tgz",
|
||||
@@ -836,7 +836,7 @@
|
||||
},
|
||||
"packages/slack": {
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
"@slack/bolt": "^3.17.1",
|
||||
@@ -849,7 +849,7 @@
|
||||
},
|
||||
"packages/stats/app": {
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@ibm/plex": "6.4.1",
|
||||
"@kobalte/core": "catalog:",
|
||||
@@ -883,7 +883,7 @@
|
||||
},
|
||||
"packages/stats/core": {
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-athena": "3.933.0",
|
||||
"@planetscale/database": "1.19.0",
|
||||
@@ -902,7 +902,7 @@
|
||||
},
|
||||
"packages/stats/server": {
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-firehose": "3.933.0",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -944,7 +944,7 @@
|
||||
},
|
||||
"packages/tui": {
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/plugin": "workspace:*",
|
||||
@@ -971,7 +971,7 @@
|
||||
},
|
||||
"packages/ui": {
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@pierre/diffs": "catalog:",
|
||||
@@ -1022,7 +1022,7 @@
|
||||
},
|
||||
"packages/web": {
|
||||
"name": "@opencode-ai/web",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@astrojs/cloudflare": "12.6.3",
|
||||
"@astrojs/markdown-remark": "6.3.1",
|
||||
@@ -1075,6 +1075,7 @@
|
||||
"@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
|
||||
"@npmcli/agent@4.0.2": "patches/@npmcli%2Fagent@4.0.2.patch",
|
||||
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
|
||||
"@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch",
|
||||
"@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
|
||||
"pacote@21.5.0": "patches/pacote@21.5.0.patch",
|
||||
"@dnd-kit/dom@0.5.0": "patches/@dnd-kit%2Fdom@0.5.0.patch",
|
||||
|
||||
+13
-1
@@ -181,6 +181,16 @@ const statsSyncConfig = new sst.Linkable("StatsSyncConfig", {
|
||||
},
|
||||
})
|
||||
|
||||
const r2SqlAuthToken = new sst.Secret("R2SqlAuthToken")
|
||||
const r2Sql = new sst.Linkable("R2Sql", {
|
||||
properties: {
|
||||
accountId: "15d29c8639fd3733b1b5486a2acfd968",
|
||||
bucket: `platform-${$app.stage}-lake`,
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
},
|
||||
})
|
||||
|
||||
export const statSync = new sst.aws.Service("StatsSyncService", {
|
||||
cluster: lakeCluster,
|
||||
architecture: "arm64",
|
||||
@@ -193,7 +203,9 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
|
||||
dockerfile: "packages/stats/server/Dockerfile",
|
||||
},
|
||||
command: ["bun", "src/stat-sync.ts"],
|
||||
link: [database, inferenceEvent, statsSyncConfig],
|
||||
// Keep the legacy Athena link and IAM permissions during the first R2-backed
|
||||
// release so reverting the application code remains a one-deploy rollback.
|
||||
link: [database, inferenceEvent, r2Sql, r2SqlAuthToken, statsSyncConfig],
|
||||
permissions: lakeQueryPermissions,
|
||||
scaling: {
|
||||
min: 1,
|
||||
|
||||
+4
-4
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"x86_64-linux": "sha256-uduwrM143NDSc+tXsi4lVVfoMll2a3BDHRUjuO7GB68=",
|
||||
"aarch64-linux": "sha256-6DUda78XdXY6DP86lIUkweSjys3iG4Y4mo1PiaNuXbg=",
|
||||
"aarch64-darwin": "sha256-AkJwfLULLZVwwz+XU1QcFUZoIS7oVPCn+n/MXEaxrqE=",
|
||||
"x86_64-darwin": "sha256-hAxKGdiITTxQ2uujQt6prNjo3NxGAMMeo+9HlMWK6GU="
|
||||
"x86_64-linux": "sha256-TNwKfqxD83UpZuCKN8FdEWN+CcQUP9CkCQSLGNqR/sA=",
|
||||
"aarch64-linux": "sha256-qzvOJZzmq2QhlauElw8GwgQnCPHdhexI52L0md5zrxQ=",
|
||||
"aarch64-darwin": "sha256-ZzoyLayOFfcYUAg35ZbZ2WapxDdd9IUWqy2xkxZH4QM=",
|
||||
"x86_64-darwin": "sha256-maP/qLeaC3q8VcmNIPyIKlnplxFXJ7ULho3v21/16Mw="
|
||||
}
|
||||
}
|
||||
|
||||
+2
-1
@@ -159,6 +159,7 @@
|
||||
"@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
|
||||
"effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
|
||||
"@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch",
|
||||
"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch"
|
||||
"@ai-sdk/openai-compatible@2.0.41": "patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch",
|
||||
"@ai-sdk/groq@3.0.31": "patches/@ai-sdk%2Fgroq@3.0.31.patch"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"description": "",
|
||||
"type": "module",
|
||||
"exports": {
|
||||
|
||||
@@ -103,6 +103,7 @@ describe("normalizeProviderList", () => {
|
||||
)
|
||||
|
||||
expect(result.connected).toEqual(["openai"])
|
||||
expect(result.defaultModel).toEqual({ providerID: "openai", modelID: "gpt-5" })
|
||||
expect(result.default).toEqual({ openai: "gpt-5" })
|
||||
expect(result.all.get("openai")?.models["gpt-old"]).toBeUndefined()
|
||||
expect(result.all.get("openai")?.models["gpt-5"]).toMatchObject({
|
||||
@@ -113,6 +114,10 @@ describe("normalizeProviderList", () => {
|
||||
variants: { high: {} },
|
||||
})
|
||||
})
|
||||
|
||||
test("preserves an empty current default", () => {
|
||||
expect(normalizeProviderList([] as ProviderListOutput["data"], [], null).defaultModel).toBeNull()
|
||||
})
|
||||
})
|
||||
|
||||
describe("directoryKey", () => {
|
||||
|
||||
@@ -139,6 +139,7 @@ export function normalizeProviderList(
|
||||
return {
|
||||
all,
|
||||
connected: providers.map((provider) => provider.id),
|
||||
defaultModel: defaultModel ? { providerID: defaultModel.providerID, modelID: defaultModel.id } : null,
|
||||
default: Object.fromEntries(
|
||||
providers.flatMap((provider) => {
|
||||
const model =
|
||||
|
||||
@@ -6,6 +6,7 @@ import { createStore } from "solid-js/store"
|
||||
import { useModels } from "@/context/models"
|
||||
import { useSettings } from "@/context/settings"
|
||||
import { useProviders } from "@/hooks/use-providers"
|
||||
import { resolveDefaultModel } from "@/hooks/provider-catalog"
|
||||
import { Persist, persisted } from "@/utils/persist"
|
||||
import { hasCustomAgent, resolveAgent } from "./local-agent"
|
||||
import { cycleModelVariant, getConfiguredAgentVariant, resolveModelVariant } from "./model-variant"
|
||||
@@ -149,10 +150,8 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
|
||||
})
|
||||
|
||||
const configuredModel = () => {
|
||||
const configured = sync().data.config.model
|
||||
if (!configured) return
|
||||
const [providerID, modelID] = configured.split("/")
|
||||
const model = { providerID, modelID }
|
||||
const model = resolveDefaultModel(providers.defaultModel(), sync().data.config.model)
|
||||
if (!model) return
|
||||
if (validModel(model)) return model
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { expect, test } from "bun:test"
|
||||
import type { NormalizedProviderListResponse } from "@opencode-ai/session-ui/context"
|
||||
import { selectProviderCatalog } from "./provider-catalog"
|
||||
import { resolveDefaultModel, selectProviderCatalog } from "./provider-catalog"
|
||||
|
||||
const catalog = (id: string): NormalizedProviderListResponse => ({
|
||||
all: new Map([[id, { id, name: id, source: "api", env: [], options: {}, models: {} }]]),
|
||||
@@ -57,3 +57,21 @@ test("falls back to the global catalog for route consumers", () => {
|
||||
}),
|
||||
).toBe(global)
|
||||
})
|
||||
|
||||
test("uses the current server default model", () => {
|
||||
expect(resolveDefaultModel({ providerID: "openai", modelID: "gpt-5" }, "anthropic/claude")).toEqual({
|
||||
providerID: "openai",
|
||||
modelID: "gpt-5",
|
||||
})
|
||||
})
|
||||
|
||||
test("does not use legacy config when the current server has no default", () => {
|
||||
expect(resolveDefaultModel(null, "anthropic/claude")).toBeUndefined()
|
||||
})
|
||||
|
||||
test("uses config for legacy servers", () => {
|
||||
expect(resolveDefaultModel(undefined, "anthropic/claude")).toEqual({
|
||||
providerID: "anthropic",
|
||||
modelID: "claude",
|
||||
})
|
||||
})
|
||||
|
||||
@@ -25,3 +25,13 @@ export function selectProviderCatalog(input: ProviderCatalogInput) {
|
||||
if (input.explicit) return emptyProviderCatalog
|
||||
return input.global
|
||||
}
|
||||
|
||||
export function resolveDefaultModel(
|
||||
current: NormalizedProviderListResponse["defaultModel"],
|
||||
legacy: string | undefined,
|
||||
) {
|
||||
if (current !== undefined) return current ?? undefined
|
||||
if (!legacy) return undefined
|
||||
const [providerID, modelID] = legacy.split("/")
|
||||
return { providerID, modelID }
|
||||
}
|
||||
|
||||
@@ -41,6 +41,7 @@ export function useProviders(directory: Accessor<string | undefined>) {
|
||||
return {
|
||||
all: () => providers().all,
|
||||
default: () => providers().default,
|
||||
defaultModel: () => providers().defaultModel,
|
||||
popular: () =>
|
||||
pipe(
|
||||
providers().all,
|
||||
|
||||
@@ -583,7 +583,7 @@ export const dict = {
|
||||
"dialog.usageExceeded.dontShowAgain": "不再显示",
|
||||
|
||||
"context.breakdown.title": "上下文细分",
|
||||
"context.breakdown.note": "输入词元的大致细分。“其他”包含工具定义和开销。",
|
||||
"context.breakdown.note": "输入 token 的大致细分。“其他”包含工具定义和开销。",
|
||||
"context.breakdown.system": "系统",
|
||||
"context.breakdown.user": "用户",
|
||||
"context.breakdown.assistant": "助手",
|
||||
@@ -598,18 +598,18 @@ export const dict = {
|
||||
"context.stats.provider": "提供商",
|
||||
"context.stats.model": "模型",
|
||||
"context.stats.limit": "上下文限制",
|
||||
"context.stats.totalTokens": "词元总数",
|
||||
"context.stats.totalTokens": "总 token",
|
||||
"context.stats.usage": "使用率",
|
||||
"context.stats.inputTokens": "输入词元",
|
||||
"context.stats.outputTokens": "输出词元",
|
||||
"context.stats.reasoningTokens": "推理词元",
|
||||
"context.stats.cacheTokens": "缓存词元(读/写)",
|
||||
"context.stats.inputTokens": "输入 token",
|
||||
"context.stats.outputTokens": "输出 token",
|
||||
"context.stats.reasoningTokens": "推理 token",
|
||||
"context.stats.cacheTokens": "缓存 token(读/写)",
|
||||
"context.stats.userMessages": "用户消息",
|
||||
"context.stats.assistantMessages": "助手消息",
|
||||
"context.stats.totalCost": "总成本",
|
||||
"context.stats.sessionCreated": "创建时间",
|
||||
"context.stats.lastActivity": "最后活动",
|
||||
"context.usage.tokens": "词元数",
|
||||
"context.usage.tokens": "Token",
|
||||
"context.usage.usage": "使用率",
|
||||
"context.usage.cost": "成本",
|
||||
"context.usage.clickToView": "点击查看上下文",
|
||||
|
||||
@@ -6,6 +6,7 @@ import { usePrompt } from "@/context/prompt"
|
||||
import { useSDK } from "@/context/sdk"
|
||||
import { useSync } from "@/context/sync"
|
||||
import { useProviders } from "@/hooks/use-providers"
|
||||
import { resolveDefaultModel } from "@/hooks/provider-catalog"
|
||||
|
||||
export function createPromptModelSelection(input: { agent: () => { model?: ModelKey; variant?: string } | undefined }) {
|
||||
const sdk = useSDK()
|
||||
@@ -21,10 +22,8 @@ export function createPromptModelSelection(input: { agent: () => { model?: Model
|
||||
}
|
||||
|
||||
const configured = () => {
|
||||
const value = sync().data.config.model
|
||||
if (!value) return
|
||||
const [providerID, modelID] = value.split("/")
|
||||
const model = { providerID, modelID }
|
||||
const model = resolveDefaultModel(providers.defaultModel(), sync().data.config.model)
|
||||
if (!model) return
|
||||
if (valid(model)) return model
|
||||
}
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"bin": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"description": "Effect-native confined code execution over schema-described tools",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -373,7 +373,8 @@ export const dict = {
|
||||
"zen.api.error.providerNotSupported": "Provider {{provider}} not supported",
|
||||
"zen.api.error.missingApiKey": "Missing API key.",
|
||||
"zen.api.error.invalidApiKey": "Invalid API key.",
|
||||
"zen.api.error.requestBlockedByUpstreamProvider": "Request blocked by upstream provider.",
|
||||
"zen.api.error.requestBlockedByUpstreamProvider":
|
||||
"This account has found to be committing fraud or is in breach of terms of services and has been blocked. If you believe this is a mistake please send an email to help@anoma.ly.",
|
||||
"zen.api.error.subscriptionQuotaExceeded": "Subscription quota exceeded. Retry in {{retryIn}}.",
|
||||
"zen.api.error.goSubscriptionRollingLimitExceeded":
|
||||
"5-hour usage limit reached. Resets in {{retryIn}}. To continue using this model now, enable usage from your available balance: {{consoleGoUrl}}",
|
||||
|
||||
@@ -0,0 +1,158 @@
|
||||
import type { APIEvent } from "@solidjs/start/server"
|
||||
import { and, Database, eq, isNull } from "@opencode-ai/console-core/drizzle/index.js"
|
||||
import { BillingTable, LiteTable } from "@opencode-ai/console-core/schema/billing.sql.js"
|
||||
import { KeyTable } from "@opencode-ai/console-core/schema/key.sql.js"
|
||||
import { UserTable } from "@opencode-ai/console-core/schema/user.sql.js"
|
||||
import { WorkspaceTable } from "@opencode-ai/console-core/schema/workspace.sql.js"
|
||||
import { LiteData } from "@opencode-ai/console-core/lite.js"
|
||||
import { Subscription } from "@opencode-ai/console-core/subscription.js"
|
||||
|
||||
export async function GET(input: APIEvent) {
|
||||
const apiKey = input.request.headers.get("authorization")?.match(/^Bearer (\S+)$/)?.[1]
|
||||
|
||||
if (!apiKey) {
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
error: {
|
||||
type: "AuthError",
|
||||
message: "Missing API key.",
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 401,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
const auth = await Database.use((tx) =>
|
||||
tx
|
||||
.select({
|
||||
userID: KeyTable.userID,
|
||||
workspaceID: KeyTable.workspaceID,
|
||||
})
|
||||
.from(KeyTable)
|
||||
.innerJoin(
|
||||
UserTable,
|
||||
and(
|
||||
eq(UserTable.workspaceID, KeyTable.workspaceID),
|
||||
eq(UserTable.id, KeyTable.userID),
|
||||
isNull(UserTable.timeDeleted),
|
||||
),
|
||||
)
|
||||
.innerJoin(WorkspaceTable, and(eq(WorkspaceTable.id, KeyTable.workspaceID), isNull(WorkspaceTable.timeDeleted)))
|
||||
.innerJoin(
|
||||
BillingTable,
|
||||
and(eq(BillingTable.workspaceID, KeyTable.workspaceID), isNull(BillingTable.timeDeleted)),
|
||||
)
|
||||
.where(and(eq(KeyTable.key, apiKey), isNull(KeyTable.timeDeleted)))
|
||||
.then((rows) => rows[0]),
|
||||
)
|
||||
|
||||
if (!auth) {
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
error: {
|
||||
type: "AuthError",
|
||||
message: "Unauthorized",
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 401,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
const row = await Database.use((tx) =>
|
||||
tx
|
||||
.select({
|
||||
timeCreated: LiteTable.timeCreated,
|
||||
rollingUsage: LiteTable.rollingUsage,
|
||||
weeklyUsage: LiteTable.weeklyUsage,
|
||||
monthlyUsage: LiteTable.monthlyUsage,
|
||||
timeRollingUpdated: LiteTable.timeRollingUpdated,
|
||||
timeWeeklyUpdated: LiteTable.timeWeeklyUpdated,
|
||||
timeMonthlyUpdated: LiteTable.timeMonthlyUpdated,
|
||||
})
|
||||
.from(LiteTable)
|
||||
.where(
|
||||
and(
|
||||
eq(LiteTable.workspaceID, auth.workspaceID),
|
||||
eq(LiteTable.userID, auth.userID),
|
||||
isNull(LiteTable.timeDeleted),
|
||||
),
|
||||
)
|
||||
.then((rows) => rows[0]),
|
||||
)
|
||||
|
||||
if (!row) {
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
error: {
|
||||
type: "EntitlementError",
|
||||
message: "OpenCode Go subscription required.",
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 403,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
const limits = LiteData.getLimits()
|
||||
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
usage: {
|
||||
rolling: formatUsage(
|
||||
Subscription.analyzeRollingUsage({
|
||||
limit: limits.rollingLimit,
|
||||
window: limits.rollingWindow,
|
||||
usage: row.rollingUsage ?? 0,
|
||||
timeUpdated: row.timeRollingUpdated ?? new Date(),
|
||||
}),
|
||||
),
|
||||
weekly: formatUsage(
|
||||
Subscription.analyzeWeeklyUsage({
|
||||
limit: limits.weeklyLimit,
|
||||
usage: row.weeklyUsage ?? 0,
|
||||
timeUpdated: row.timeWeeklyUpdated ?? new Date(),
|
||||
}),
|
||||
),
|
||||
monthly: formatUsage(
|
||||
Subscription.analyzeMonthlyUsage({
|
||||
limit: limits.monthlyLimit,
|
||||
usage: row.monthlyUsage ?? 0,
|
||||
timeUpdated: row.timeMonthlyUpdated ?? new Date(),
|
||||
timeSubscribed: row.timeCreated,
|
||||
}),
|
||||
),
|
||||
},
|
||||
}),
|
||||
{
|
||||
status: 200,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
|
||||
function formatUsage(usage: { status: "ok" | "rate-limited"; resetInSec: number; usagePercent: number }) {
|
||||
return {
|
||||
status: usage.status,
|
||||
percent: usage.usagePercent,
|
||||
resetsAt: new Date(Date.now() + usage.resetInSec * 1000).toISOString(),
|
||||
}
|
||||
}
|
||||
@@ -139,7 +139,7 @@ export async function handler(
|
||||
if (
|
||||
authInfo &&
|
||||
opts.modelList === "lite" &&
|
||||
modelInfo.id === "deepseek-v4-flash" &&
|
||||
["deepseek-v4-flash", "deepseek-v4-pro"].includes(modelInfo.id) &&
|
||||
!allowedRegions?.includes("cn")
|
||||
)
|
||||
throw new RegionError(
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/core",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -131,8 +131,6 @@ export const Provider = Schema.Struct({
|
||||
|
||||
export type Provider = Schema.Schema.Type<typeof Provider>
|
||||
|
||||
const Catalog = Schema.Record(Schema.String, Provider)
|
||||
|
||||
export const Event = ModelsDev.Event
|
||||
|
||||
declare const OPENCODE_MODELS_DEV: Record<string, Provider> | undefined
|
||||
@@ -184,7 +182,6 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const loadFromDisk = fs.readJson(Flag.OPENCODE_MODELS_PATH ?? filepath).pipe(
|
||||
Effect.flatMap(Schema.decodeUnknownEffect(Catalog)),
|
||||
Effect.catch((error) => {
|
||||
if (
|
||||
Flag.OPENCODE_MODELS_PATH === undefined &&
|
||||
@@ -204,7 +201,6 @@ const layer = Layer.effect(
|
||||
|
||||
const fetchAndWrite = Effect.fn("ModelsDev.fetchAndWrite")(function* () {
|
||||
const text = yield* fetchApi()
|
||||
const catalog = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Catalog))(text)
|
||||
const tempfile = `${filepath}.${process.pid}.${Date.now()}.tmp`
|
||||
yield* fs.writeWithDirs(tempfile, text).pipe(
|
||||
Effect.andThen(fs.rename(tempfile, filepath)),
|
||||
@@ -215,7 +211,7 @@ const layer = Layer.effect(
|
||||
}),
|
||||
),
|
||||
)
|
||||
return catalog
|
||||
return text
|
||||
})
|
||||
|
||||
const populate = Effect.gen(function* () {
|
||||
@@ -225,18 +221,14 @@ const layer = Layer.effect(
|
||||
if (snapshot) return snapshot
|
||||
if (Flag.OPENCODE_DISABLE_MODELS_FETCH) return {}
|
||||
// Flock is cross-process: concurrent opencode CLIs can race on this cache file.
|
||||
return yield* Effect.scoped(
|
||||
const text = yield* Effect.scoped(
|
||||
Effect.gen(function* () {
|
||||
yield* Flock.effect(lockKey)
|
||||
return yield* fetchAndWrite()
|
||||
}),
|
||||
)
|
||||
}).pipe(
|
||||
Effect.withSpan("ModelsDev.populate"),
|
||||
Effect.catch((error) =>
|
||||
Effect.logError("Failed to fetch models.dev", { error }).pipe(Effect.as({} as Record<string, Provider>)),
|
||||
),
|
||||
)
|
||||
return JSON.parse(text) as Record<string, Provider>
|
||||
}).pipe(Effect.withSpan("ModelsDev.populate"), Effect.orDie)
|
||||
|
||||
const [cachedGet, invalidate] = yield* Effect.cachedInvalidateWithTTL(populate, Duration.infinity)
|
||||
|
||||
|
||||
@@ -30,15 +30,11 @@ Guidelines:
|
||||
|
||||
Complete the user's search request efficiently and report your findings clearly.`
|
||||
|
||||
const PROMPT_COMPACTION = `You are an anchored context summarization assistant for coding sessions.
|
||||
|
||||
Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
|
||||
|
||||
If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
|
||||
const PROMPT_COMPACTION = `You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
|
||||
|
||||
Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
|
||||
|
||||
Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.`
|
||||
Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.`
|
||||
|
||||
const PROMPT_TITLE = `You are a title generator. You output ONLY a thread title. Nothing else.
|
||||
|
||||
|
||||
@@ -40,7 +40,7 @@ already-loaded config until then.
|
||||
| Scope | Path |
|
||||
| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Project config | `./opencode.json`, `./opencode.jsonc`, or `.opencode/opencode.json` (opencode walks up from the cwd to the worktree root) |
|
||||
| Global config | `~/.config/opencode/opencode.json` (NOT `~/.opencode/`) |
|
||||
| Global config | `~/.config/opencode/opencode.json` or `~/.config/opencode/opencode.jsonc` (NOT `~/.opencode/`) |
|
||||
| Project agents | `.opencode/agent/<name>.md` or `.opencode/agents/<name>.md` |
|
||||
| Global agents | `~/.config/opencode/agent(s)/<name>.md` |
|
||||
| Project commands | `.opencode/command/<name>.md` or `.opencode/commands/<name>.md` |
|
||||
|
||||
@@ -264,7 +264,10 @@ const layer = Layer.effect(
|
||||
}),
|
||||
line: match.line_number,
|
||||
offset: match.absolute_offset,
|
||||
text: match.lines.text.length > 2_000 ? match.lines.text.slice(0, 2_000) + "..." : match.lines.text,
|
||||
text:
|
||||
match.lines.text.length > 2_000
|
||||
? match.lines.text.slice(0, 2_000).replace(/[\uD800-\uDBFF]$/, "") + "..."
|
||||
: match.lines.text,
|
||||
submatches: match.submatches.map((submatch) => ({
|
||||
text: submatch.match.text,
|
||||
start: submatch.start,
|
||||
|
||||
@@ -44,6 +44,15 @@ Rules:
|
||||
- Use terse bullets, not prose paragraphs.
|
||||
- Preserve exact file paths, symbols, commands, error strings, URLs, and identifiers when known.
|
||||
- Do not mention the summary process or that context was compacted.`
|
||||
const SUMMARY_UPDATE_INSTRUCTIONS = `The <prior-summary> summarizes everything that happened before the <conversation>. Construct a new summary that combines both. The <prior-summary> is discarded after this: anything you do not carry into the new summary is lost.
|
||||
|
||||
When combining:
|
||||
- Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary> even when the <conversation> does not mention them. Drop only what is finished and no longer needed.
|
||||
- The <conversation> is more recent than the <prior-summary>. Where they conflict, the conversation wins: state the corrected fact and drop the old claim.
|
||||
- Add new progress, decisions, constraints, and context from the conversation.
|
||||
- Move completed work from "Active" to "Completed".
|
||||
- If a blocker has been resolved, update the summary to reflect that while keeping any details still needed to continue the work.
|
||||
- Update "Objective" and "Next Move" to reflect the current work state.`
|
||||
|
||||
type Entry = {
|
||||
readonly seq: number
|
||||
@@ -136,36 +145,33 @@ const select = (
|
||||
if (conversation.length === 0) return
|
||||
let total = 0
|
||||
let split = conversation.length
|
||||
let splitPrefix = ""
|
||||
let splitSuffix = ""
|
||||
for (let index = conversation.length - 1; index >= 0; index--) {
|
||||
const next = total + Token.estimate(conversation[index])
|
||||
if (next > tokens) {
|
||||
const remaining = Math.max(0, tokens - total) * 4
|
||||
if (remaining > 0) {
|
||||
splitPrefix = conversation[index].slice(0, -remaining)
|
||||
splitSuffix = conversation[index].slice(-remaining)
|
||||
split = index + 1
|
||||
}
|
||||
break
|
||||
}
|
||||
if (next > tokens) break
|
||||
total = next
|
||||
split = index
|
||||
}
|
||||
return {
|
||||
head: [...conversation.slice(0, split), splitPrefix].filter(Boolean).join("\n\n"),
|
||||
recent: [splitSuffix, ...conversation.slice(split)].filter(Boolean).join("\n\n"),
|
||||
head: conversation.slice(0, split).join("\n\n"),
|
||||
recent: conversation.slice(split).join("\n\n"),
|
||||
}
|
||||
}
|
||||
|
||||
export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) =>
|
||||
[
|
||||
input.previousSummary
|
||||
? `Update the anchored summary below using the conversation history above.\nPreserve still-true details, remove stale details, and merge in the new facts.\n<previous-summary>\n${input.previousSummary}\n</previous-summary>`
|
||||
: "Create a new anchored summary from the conversation history.",
|
||||
export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) => {
|
||||
const conversation = `Here is the conversation so far:\n\n<conversation>\n${input.context.join("\n\n")}\n</conversation>`
|
||||
if (!input.previousSummary)
|
||||
return [
|
||||
conversation,
|
||||
"Create a new anchored summary from the conversation history in the <conversation> tags above so another coding agent can continue the work.",
|
||||
SUMMARY_TEMPLATE,
|
||||
].join("\n\n")
|
||||
return [
|
||||
conversation,
|
||||
`Here is the summary of the conversation before the <conversation> above:\n\n<prior-summary>\n${input.previousSummary}\n</prior-summary>`,
|
||||
SUMMARY_UPDATE_INSTRUCTIONS,
|
||||
SUMMARY_TEMPLATE,
|
||||
...input.context,
|
||||
].join("\n\n")
|
||||
}
|
||||
|
||||
export const make = (dependencies: Dependencies) => {
|
||||
const config = settings(dependencies.config)
|
||||
|
||||
@@ -156,7 +156,7 @@ export const Info = Schema.Struct({
|
||||
}),
|
||||
tail_turns: Schema.optional(NonNegativeInt).annotate({
|
||||
description:
|
||||
"Number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction (default: 2)",
|
||||
"Maximum number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction. By default retention is limited only by the preserved token budget.",
|
||||
}),
|
||||
preserve_recent_tokens: Schema.optional(NonNegativeInt).annotate({
|
||||
description: "Maximum number of tokens from recent turns to preserve verbatim after compaction",
|
||||
|
||||
@@ -112,18 +112,6 @@ const writeCache = (data: object, mtimeMs?: number) => writeCacheText(JSON.strin
|
||||
const provided = <A, E>(state: Ref.Ref<MockState>, eff: Effect.Effect<A, E, ModelsDev.Service>) =>
|
||||
eff.pipe(Effect.provide(buildLayer(state)))
|
||||
|
||||
const withFetch = <A, E, R>(effect: Effect.Effect<A, E, R>) =>
|
||||
Effect.acquireUseRelease(
|
||||
Effect.sync(() => {
|
||||
Flag.OPENCODE_DISABLE_MODELS_FETCH = false
|
||||
}),
|
||||
() => effect,
|
||||
() =>
|
||||
Effect.sync(() => {
|
||||
Flag.OPENCODE_DISABLE_MODELS_FETCH = true
|
||||
}),
|
||||
)
|
||||
|
||||
beforeEach(async () => {
|
||||
await rm(cacheFile, { force: true })
|
||||
})
|
||||
@@ -171,7 +159,16 @@ describe("ModelsDev Service", () => {
|
||||
yield* writeCacheText("{")
|
||||
const state = yield* Ref.make({ ...initialState, body: JSON.stringify(fixture2) })
|
||||
const context = yield* Layer.build(buildLayer(state))
|
||||
const result = yield* withFetch(ModelsDev.Service.use((s) => s.get()).pipe(Effect.provide(context)))
|
||||
const result = yield* Effect.acquireUseRelease(
|
||||
Effect.sync(() => {
|
||||
Flag.OPENCODE_DISABLE_MODELS_FETCH = false
|
||||
}),
|
||||
() => ModelsDev.Service.use((s) => s.get()).pipe(Effect.provide(context)),
|
||||
() =>
|
||||
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)
|
||||
@@ -179,38 +176,6 @@ describe("ModelsDev Service", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.live("get() returns an empty catalog when the initial fetch fails", () =>
|
||||
Effect.gen(function* () {
|
||||
const state = yield* Ref.make({ ...initialState, status: 503 })
|
||||
const context = yield* Layer.build(buildLayer(state))
|
||||
const result = yield* withFetch(ModelsDev.Service.use((s) => s.get()).pipe(Effect.provide(context)))
|
||||
expect(result).toEqual({})
|
||||
expect((yield* Ref.get(state)).calls.length).toBe(3)
|
||||
}),
|
||||
)
|
||||
|
||||
it.live("get() returns an empty catalog when the response is malformed JSON", () =>
|
||||
Effect.gen(function* () {
|
||||
const state = yield* Ref.make({ ...initialState, body: "{" })
|
||||
const context = yield* Layer.build(buildLayer(state))
|
||||
const result = yield* withFetch(ModelsDev.Service.use((s) => s.get()).pipe(Effect.provide(context)))
|
||||
expect(result).toEqual({})
|
||||
expect((yield* Ref.get(state)).calls.length).toBe(1)
|
||||
expect(yield* Effect.promise(() => Bun.file(cacheFile).exists())).toBe(false)
|
||||
}),
|
||||
)
|
||||
|
||||
it.live("get() returns an empty catalog when the response has an invalid shape", () =>
|
||||
Effect.gen(function* () {
|
||||
const state = yield* Ref.make({ ...initialState, body: JSON.stringify({ acme: {} }) })
|
||||
const context = yield* Layer.build(buildLayer(state))
|
||||
const result = yield* withFetch(ModelsDev.Service.use((s) => s.get()).pipe(Effect.provide(context)))
|
||||
expect(result).toEqual({})
|
||||
expect((yield* Ref.get(state)).calls.length).toBe(1)
|
||||
expect(yield* Effect.promise(() => Bun.file(cacheFile).exists())).toBe(false)
|
||||
}),
|
||||
)
|
||||
|
||||
it.live("get() is single-flight under concurrent calls", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* writeCache(fixture)
|
||||
|
||||
@@ -0,0 +1,28 @@
|
||||
import { createGroq } from "@ai-sdk/groq"
|
||||
import { expect, test } from "bun:test"
|
||||
|
||||
test("Groq passes through unknown reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created: 0,
|
||||
model: "openai/gpt-oss-120b",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createGroq({ apiKey: "test", fetch: mockFetch })("openai/gpt-oss-120b")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { groq: { reasoningEffort: "custom" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("custom")
|
||||
})
|
||||
@@ -27,6 +27,32 @@ test("Mistral sends promptCacheKey as prompt_cache_key", async () => {
|
||||
expect(body?.prompt_cache_key).toBe("session-123")
|
||||
})
|
||||
|
||||
test("Mistral passes through unknown reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created: 0,
|
||||
model: "mistral-large-latest",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createMistral({ apiKey: "test", fetch: mockFetch })("mistral-large-latest")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { mistral: { reasoningEffort: "custom" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("custom")
|
||||
})
|
||||
|
||||
test("Mistral round-trips native reasoning in assistant history", async () => {
|
||||
let body: { messages?: unknown[] } | undefined
|
||||
const mockFetch = Object.assign(
|
||||
|
||||
@@ -30,3 +30,56 @@ test("xAI Responses sends promptCacheKey as prompt_cache_key", async () => {
|
||||
|
||||
expect(body?.prompt_cache_key).toBe("session-123")
|
||||
})
|
||||
|
||||
test("xAI Responses passes through xhigh reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "response-1",
|
||||
created_at: 0,
|
||||
model: "grok-4",
|
||||
object: "response",
|
||||
output: [],
|
||||
usage: { input_tokens: 1, output_tokens: 0 },
|
||||
status: "completed",
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createXai({ apiKey: "test", fetch: mockFetch }).responses("grok-4")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { xai: { reasoningEffort: "xhigh" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning).toEqual({ effort: "xhigh" })
|
||||
})
|
||||
|
||||
test("xAI Chat passes through xhigh reasoning effort", async () => {
|
||||
let body: Record<string, unknown> | undefined
|
||||
const mockFetch = Object.assign(
|
||||
async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
|
||||
body = JSON.parse(String(init?.body))
|
||||
return Response.json({
|
||||
id: "chat-1",
|
||||
created: 0,
|
||||
model: "grok-4",
|
||||
object: "chat.completion",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "Hello" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
})
|
||||
},
|
||||
{ preconnect: fetch.preconnect },
|
||||
)
|
||||
const model = createXai({ apiKey: "test", fetch: mockFetch }).chat("grok-4")
|
||||
|
||||
await model.doGenerate({
|
||||
prompt: [{ role: "user", content: [{ type: "text", text: "Hello" }] }],
|
||||
providerOptions: { xai: { reasoningEffort: "xhigh" } },
|
||||
})
|
||||
|
||||
expect(body?.reasoning_effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
@@ -62,4 +62,24 @@ describe("Ripgrep", () => {
|
||||
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
|
||||
),
|
||||
)
|
||||
it.live("does not split surrogate pairs in oversized line previews", () =>
|
||||
Effect.acquireUseRelease(
|
||||
Effect.promise(() => tmpdir()),
|
||||
(tmp) =>
|
||||
Effect.gen(function* () {
|
||||
yield* Effect.promise(() =>
|
||||
fs.writeFile(path.join(tmp.path, "unicode.txt"), `needle${"x".repeat(1_993)}😀\n`),
|
||||
)
|
||||
|
||||
const matches = yield* (yield* Ripgrep.Service).grep({
|
||||
cwd: tmp.path,
|
||||
pattern: "needle",
|
||||
limit: 10,
|
||||
})
|
||||
|
||||
expect(matches[0]?.text).toBe(`needle${"x".repeat(1_993)}...`)
|
||||
}),
|
||||
(tmp) => Effect.promise(() => tmp[Symbol.asyncDispose]()),
|
||||
),
|
||||
)
|
||||
})
|
||||
|
||||
@@ -4,12 +4,32 @@ import { SessionCompaction } from "@opencode-ai/core/session/compaction"
|
||||
test("compaction prompt preserves detailed work state and relevant files", () => {
|
||||
const prompt = SessionCompaction.buildPrompt({ context: ["conversation history"] })
|
||||
|
||||
expect(prompt).toStartWith(
|
||||
"Here is the conversation so far:\n\n<conversation>\nconversation history\n</conversation>",
|
||||
)
|
||||
expect(prompt.indexOf("</conversation>")).toBeLessThan(prompt.indexOf("Create a new anchored summary"))
|
||||
expect(prompt).toContain("conversation history in the <conversation> tags above")
|
||||
expect(prompt).toContain("## Work State\n### Completed")
|
||||
expect(prompt).toContain("### Active")
|
||||
expect(prompt).toContain("### Blocked")
|
||||
expect(prompt).toContain("## Relevant Files")
|
||||
})
|
||||
|
||||
test("compaction prompt gives update instructions for a prior summary", () => {
|
||||
const prompt = SessionCompaction.buildPrompt({
|
||||
context: ["new conversation"],
|
||||
previousSummary: "existing summary",
|
||||
})
|
||||
|
||||
expect(prompt.indexOf("<conversation>")).toBeLessThan(prompt.indexOf("<prior-summary>"))
|
||||
expect(prompt.indexOf("</prior-summary>")).toBeLessThan(prompt.indexOf("The <prior-summary> summarizes"))
|
||||
expect(prompt).toContain(
|
||||
"Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary>",
|
||||
)
|
||||
expect(prompt).toContain('Move completed work from "Active" to "Completed".')
|
||||
expect(prompt).toContain('Update "Objective" and "Next Move" to reflect the current work state.')
|
||||
})
|
||||
|
||||
test("compaction describes tool media without embedding base64", () => {
|
||||
const base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAAB"
|
||||
const serialized = SessionCompaction.serializeToolContent([
|
||||
|
||||
@@ -1135,7 +1135,7 @@ describe("SessionRunnerLLM", () => {
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
expect(userTexts(requests[0])[0]).toContain(
|
||||
"<previous-summary>\n## Objective\n- Preserve the task\n</previous-summary>",
|
||||
"<prior-summary>\n## Objective\n- Preserve the task\n</prior-summary>",
|
||||
)
|
||||
expect(userTexts(requests[0])[0]).toContain("Recent exact request")
|
||||
expect((yield* (yield* SessionStore.Service).context(sessionID))[0]).toMatchObject({
|
||||
@@ -1145,6 +1145,67 @@ describe("SessionRunnerLLM", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("retains only complete serialized messages during compaction", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
const earlier = `EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`
|
||||
const recent = `RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`
|
||||
response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: earlier }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
currentModel = compactModel
|
||||
requests.length = 0
|
||||
responses = [
|
||||
fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
|
||||
fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
|
||||
]
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: recent }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
const summary = userTexts(requests[0])[0]
|
||||
const continuation = userTexts(requests[1])[0]
|
||||
expect(summary.match(/EARLIER_BOUNDARY/g)).toHaveLength(1)
|
||||
expect(summary).toContain(`EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`)
|
||||
expect(summary).not.toContain("RECENT_BOUNDARY")
|
||||
expect(continuation).not.toContain("EARLIER_BOUNDARY")
|
||||
expect(continuation).not.toContain("EARLIER_END")
|
||||
expect(continuation).toContain("<recent-context>\n[Assistant]: Earlier answer")
|
||||
expect(continuation).toContain(`RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`)
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("summarizes an oversized newest message without retaining a fragment", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Earlier question" }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
const oversized = `OVERSIZED_BOUNDARY ${"x".repeat(4_500)} OVERSIZED_END`
|
||||
currentModel = compactModel
|
||||
requests.length = 0
|
||||
responses = [
|
||||
fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
|
||||
fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
|
||||
]
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: oversized }), resume: false })
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
const summary = userTexts(requests[0])[0]
|
||||
const continuation = userTexts(requests[1])[0]
|
||||
expect(summary.match(/OVERSIZED_BOUNDARY/g)).toHaveLength(1)
|
||||
expect(summary).toContain(oversized)
|
||||
expect(continuation).not.toContain("OVERSIZED_BOUNDARY")
|
||||
expect(continuation).not.toContain("OVERSIZED_END")
|
||||
expect(continuation).toContain("<recent-context>\n\n</recent-context>")
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("forces one compaction and retries after provider context overflow", () =>
|
||||
Effect.gen(function* () {
|
||||
const session = yield* setupOverflowRecovery
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@opencode-ai/desktop",
|
||||
"private": true,
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"homepage": "https://opencode.ai",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"name": "@opencode-ai/llm",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"name": "opencode",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,9 +1,5 @@
|
||||
You are an anchored context summarization assistant for coding sessions.
|
||||
|
||||
Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
|
||||
|
||||
If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
|
||||
You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
|
||||
|
||||
Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
|
||||
|
||||
Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.
|
||||
Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.
|
||||
|
||||
@@ -88,6 +88,9 @@ function build(key: string, remote: SelectableItem, url: string, prev?: Model):
|
||||
const image =
|
||||
(remote.capabilities.supports.vision ?? false) ||
|
||||
(remote.capabilities.limits.vision?.supported_media_types ?? []).some((item) => item.startsWith("image/"))
|
||||
const pdf =
|
||||
(remote.capabilities.supports.vision ?? false) &&
|
||||
(remote.capabilities.limits.vision?.supported_media_types?.includes("application/pdf") ?? false)
|
||||
|
||||
const isMsgApi = remote.supported_endpoints?.includes("/v1/messages")
|
||||
const endpoint: CopilotEndpoint | undefined = isMsgApi
|
||||
@@ -127,7 +130,7 @@ function build(key: string, remote: SelectableItem, url: string, prev?: Model):
|
||||
audio: false,
|
||||
image,
|
||||
video: false,
|
||||
pdf: false,
|
||||
pdf,
|
||||
},
|
||||
output: {
|
||||
text: true,
|
||||
|
||||
@@ -84,6 +84,8 @@ function sdkKey(npm: string): string | undefined {
|
||||
return "gateway"
|
||||
case "@openrouter/ai-sdk-provider":
|
||||
return "openrouter"
|
||||
case "merge-gateway-ai-sdk-provider":
|
||||
return "mergeGateway"
|
||||
case "ai-gateway-provider":
|
||||
// ai-gateway-provider/unified wraps createOpenAICompatible({ name: "Unified" }),
|
||||
// and @ai-sdk/openai-compatible parses compatibleOptions from one of
|
||||
@@ -551,6 +553,12 @@ export function topP(model: Provider.Model) {
|
||||
if (["minimax-m2", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
|
||||
return 0.95
|
||||
}
|
||||
if (
|
||||
["deepseek-v4-flash-0731", "deepseek-v4-flash:0731"].some((name) => id.includes(name)) ||
|
||||
(id.includes("deepseek-v4-flash") && (model.providerID === "deepseek" || model.providerID.startsWith("opencode")))
|
||||
) {
|
||||
return 0.95
|
||||
}
|
||||
return undefined
|
||||
}
|
||||
|
||||
@@ -1766,6 +1774,7 @@ function reasoningEffort(model: Provider.Model, effort: string) {
|
||||
case "@ai-sdk/togetherai":
|
||||
case "venice-ai-sdk-provider":
|
||||
case "ai-gateway-provider":
|
||||
case "merge-gateway-ai-sdk-provider":
|
||||
return { reasoningEffort: effort }
|
||||
case "@ai-sdk/cohere":
|
||||
case "@ai-sdk/perplexity":
|
||||
|
||||
@@ -29,9 +29,8 @@ export const PRUNE_MINIMUM = 20_000
|
||||
export const PRUNE_PROTECT = 40_000
|
||||
const TOOL_OUTPUT_MAX_CHARS = 2_000
|
||||
const PRUNE_PROTECTED_TOOLS = ["skill"]
|
||||
const DEFAULT_TAIL_TURNS = 2
|
||||
const MIN_PRESERVE_RECENT_TOKENS = 2_000
|
||||
const MAX_PRESERVE_RECENT_TOKENS = 8_000
|
||||
const MAX_PRESERVE_RECENT_TOKENS = 15_000
|
||||
type Turn = {
|
||||
start: number
|
||||
end: number
|
||||
@@ -226,27 +225,22 @@ const layer = Layer.effect(
|
||||
cfg: ConfigV1.Info
|
||||
model: Provider.Model
|
||||
}) {
|
||||
const limit = input.cfg.compaction?.tail_turns ?? DEFAULT_TAIL_TURNS
|
||||
if (limit <= 0) return { head: input.messages, tail_start_id: undefined }
|
||||
const limit = input.cfg.compaction?.tail_turns
|
||||
if (limit !== undefined && limit <= 0) return { head: input.messages, tail_start_id: undefined }
|
||||
const budget = preserveRecentBudget({ cfg: input.cfg, model: input.model })
|
||||
const all = turns(input.messages)
|
||||
if (!all.length) return { head: input.messages, tail_start_id: undefined }
|
||||
const recent = all.slice(-limit)
|
||||
const sizes = yield* Effect.forEach(
|
||||
recent,
|
||||
(turn) =>
|
||||
estimate({
|
||||
messages: input.messages.slice(turn.start, turn.end),
|
||||
model: input.model,
|
||||
}),
|
||||
{ concurrency: 1 },
|
||||
)
|
||||
const recent = limit === undefined ? all : all.slice(-limit)
|
||||
|
||||
let total = 0
|
||||
let keep: Tail | undefined
|
||||
for (let i = recent.length - 1; i >= 0; i--) {
|
||||
const turn = recent[i]!
|
||||
const size = sizes[i]
|
||||
// estimate lazily so cost stays proportional to the retained tail, not the whole session
|
||||
const size = yield* estimate({
|
||||
messages: input.messages.slice(turn.start, turn.end),
|
||||
model: input.model,
|
||||
})
|
||||
if (total + size <= budget) {
|
||||
total += size
|
||||
keep = { start: turn.start, id: turn.id }
|
||||
@@ -381,10 +375,20 @@ const layer = Layer.effect(
|
||||
{ sessionID: input.sessionID },
|
||||
{ context: [], prompt: undefined },
|
||||
)
|
||||
const nextPrompt = compacting.prompt ?? buildPrompt({ previousSummary, context: compacting.context })
|
||||
const msgs = structuredClone(selected.head)
|
||||
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
|
||||
const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
|
||||
const nextPrompt =
|
||||
compacting.prompt ??
|
||||
[
|
||||
buildPrompt({
|
||||
previousSummary,
|
||||
context: [conversation],
|
||||
}),
|
||||
...compacting.context,
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n")
|
||||
const ctx = yield* InstanceState.context
|
||||
const msg: SessionV1.Assistant = {
|
||||
id: MessageID.ascending(),
|
||||
@@ -430,7 +434,10 @@ const layer = Layer.effect(
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: [nextPrompt, "The following is the conversation history:", conversation]
|
||||
text: [
|
||||
nextPrompt,
|
||||
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n"),
|
||||
},
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by Muse Spark, a large language model trained by Meta MSL.
|
||||
You are OpenCode, a coding agent that helps users with software engineering tasks. You are powered by {{MODEL_NAME}}, a large language model trained by Meta MSL.
|
||||
|
||||
Use the instructions below and the tools available to assist the user.
|
||||
|
||||
@@ -61,5 +61,5 @@ Use the instructions below and the tools available to assist the user.
|
||||
- NEVER use comments as a place for long-winded chain-of-thought. Long thinking texts must be generated as private reasoning. Comments in code must be appropriately concise.
|
||||
|
||||
# User Help & Feedback
|
||||
- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta Muse Spark.
|
||||
- Users can give feedback or report issues at https://github.com/anomalyco/opencode and mention that they are using Meta {{MODEL_NAME}}.
|
||||
- When users ask directly about OpenCode (eg. "can OpenCode do...", "are you able to do...") or its features (eg. implement a hook, write a slash command, or install an MCP server), use the WebFetch tool to gather information to answer the question from the OpenCode docs at https://opencode.ai/docs.
|
||||
|
||||
@@ -25,8 +25,10 @@ export type Retryable = {
|
||||
|
||||
export const RETRY_INITIAL_DELAY = 2000
|
||||
export const RETRY_BACKOFF_FACTOR = 2
|
||||
export const RETRY_JITTER_FACTOR = 0.25
|
||||
export const RETRY_MAX_DELAY_NO_HEADERS = 30_000 // 30 seconds
|
||||
export const RETRY_MAX_DELAY = 2_147_483_647 // max 32-bit signed integer for setTimeout
|
||||
export const RETRY_MAX_RETRIES = 5
|
||||
|
||||
const RETRYABLE_MESSAGE_PATTERNS = [
|
||||
/429|500|502|503|504|524/i,
|
||||
@@ -41,7 +43,7 @@ function cap(ms: number) {
|
||||
return Math.min(ms, RETRY_MAX_DELAY)
|
||||
}
|
||||
|
||||
export function delay(attempt: number, error?: SessionV1.APIError) {
|
||||
export function delay(attempt: number, error?: SessionV1.APIError, random = Math.random()) {
|
||||
if (error) {
|
||||
const headers = error.data.responseHeaders
|
||||
if (headers) {
|
||||
@@ -67,11 +69,16 @@ export function delay(attempt: number, error?: SessionV1.APIError) {
|
||||
}
|
||||
}
|
||||
|
||||
return cap(RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1))
|
||||
return cap(exponential(attempt, random))
|
||||
}
|
||||
}
|
||||
|
||||
return cap(Math.min(RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1), RETRY_MAX_DELAY_NO_HEADERS))
|
||||
return cap(Math.min(exponential(attempt, random), RETRY_MAX_DELAY_NO_HEADERS))
|
||||
}
|
||||
|
||||
function exponential(attempt: number, random: number) {
|
||||
const base = RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1)
|
||||
return Math.ceil(base + base * RETRY_JITTER_FACTOR * random)
|
||||
}
|
||||
|
||||
export function retryable(error: Err, provider: string) {
|
||||
@@ -182,6 +189,7 @@ export function policy(opts: {
|
||||
const error = opts.parse(meta.input)
|
||||
const retry = retryable(error, opts.provider)
|
||||
if (!retry) return Cause.done(meta.attempt)
|
||||
if (meta.attempt > RETRY_MAX_RETRIES) return Cause.done(meta.attempt)
|
||||
return Effect.gen(function* () {
|
||||
const wait = delay(meta.attempt, SessionV1.APIError.isInstance(error) ? error : undefined)
|
||||
const now = yield* Clock.currentTimeMillis
|
||||
|
||||
@@ -25,7 +25,10 @@ import { MCP } from "@/mcp"
|
||||
import { PermissionV1 } from "@opencode-ai/core/v1/permission"
|
||||
|
||||
export function provider(model: Provider.Model) {
|
||||
if (model.api.id.includes("muse-spark")) return [PROMPT_META]
|
||||
if (model.api.id.includes("muse")) {
|
||||
const name = model.api.id.includes("muse-glimmer") ? "Muse Glimmer" : "Muse Spark"
|
||||
return [PROMPT_META.replaceAll("{{MODEL_NAME}}", name)]
|
||||
}
|
||||
if (model.api.id.includes("gpt-4") || model.api.id.includes("o1") || model.api.id.includes("o3"))
|
||||
return [PROMPT_BEAST]
|
||||
if (model.api.id.includes("gpt")) {
|
||||
@@ -37,7 +40,11 @@ export function provider(model: Provider.Model) {
|
||||
if (model.api.id.includes("gemini-")) return [PROMPT_GEMINI]
|
||||
if (model.api.id.includes("claude")) return [PROMPT_ANTHROPIC]
|
||||
if (model.api.id.toLowerCase().includes("trinity")) return [PROMPT_TRINITY]
|
||||
if (model.api.id.toLowerCase().includes("kimi")) return [PROMPT_KIMI]
|
||||
if (
|
||||
model.api.id.toLowerCase().includes("kimi") ||
|
||||
["kimi-for-coding", "moonshotai", "moonshotai-cn"].includes(model.providerID)
|
||||
)
|
||||
return [PROMPT_KIMI]
|
||||
return [PROMPT_DEFAULT]
|
||||
}
|
||||
|
||||
|
||||
@@ -187,6 +187,74 @@ test("converts Copilot AIC token prices to USD per million tokens", async () =>
|
||||
expect(models["ignored-non-chat-record"]).toBeUndefined()
|
||||
})
|
||||
|
||||
test("detects PDF input support when vision and media type are advertised", async () => {
|
||||
globalThis.fetch = mock(() =>
|
||||
Promise.resolve(
|
||||
new Response(
|
||||
JSON.stringify({
|
||||
data: [
|
||||
{
|
||||
model_picker_enabled: true,
|
||||
id: "pdf-model",
|
||||
name: "PDF Model",
|
||||
version: "pdf-model-2026-06-01",
|
||||
capabilities: {
|
||||
family: "pdf-model",
|
||||
limits: {
|
||||
max_context_window_tokens: 128000,
|
||||
max_output_tokens: 16384,
|
||||
max_prompt_tokens: 128000,
|
||||
vision: {
|
||||
max_prompt_image_size: 10000000,
|
||||
max_prompt_images: 10,
|
||||
supported_media_types: ["application/pdf"],
|
||||
},
|
||||
},
|
||||
supports: {
|
||||
streaming: true,
|
||||
vision: true,
|
||||
tool_calls: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
model_picker_enabled: true,
|
||||
id: "vision-only-model",
|
||||
name: "Vision Only Model",
|
||||
version: "vision-only-model-2026-06-01",
|
||||
capabilities: {
|
||||
family: "vision-only-model",
|
||||
limits: {
|
||||
max_context_window_tokens: 128000,
|
||||
max_output_tokens: 16384,
|
||||
max_prompt_tokens: 128000,
|
||||
vision: {
|
||||
max_prompt_image_size: 10000000,
|
||||
max_prompt_images: 10,
|
||||
supported_media_types: ["image/png"],
|
||||
},
|
||||
},
|
||||
supports: {
|
||||
streaming: true,
|
||||
vision: true,
|
||||
tool_calls: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
}),
|
||||
{ status: 200 },
|
||||
),
|
||||
),
|
||||
) as unknown as typeof fetch
|
||||
|
||||
const models = (await CopilotModels.get("https://api.githubcopilot.com")).models
|
||||
const model = models["pdf-model"]
|
||||
|
||||
expect(model.capabilities.input.pdf).toBe(true)
|
||||
expect(models["vision-only-model"].capabilities.input.pdf).toBe(false)
|
||||
})
|
||||
|
||||
test("uses zero cost when Copilot reports a zero billing batch size", async () => {
|
||||
globalThis.fetch = mock(() =>
|
||||
Promise.resolve(
|
||||
|
||||
@@ -1548,6 +1548,33 @@ test("models.dev reasoning options replace generated variants and unsupported to
|
||||
expect(models["gemini-3-pro-fast"].variants).toEqual(models.override.variants)
|
||||
})
|
||||
|
||||
test("MERGE Gateway exposes declared effort variants without model-specific handling", () => {
|
||||
const provider = {
|
||||
id: "merge-gateway",
|
||||
name: "MERGE Gateway",
|
||||
env: ["MERGE_GATEWAY_API_KEY"],
|
||||
npm: "merge-gateway-ai-sdk-provider",
|
||||
models: {
|
||||
"openai/gpt-5.6-sol": {
|
||||
id: "openai/gpt-5.6-sol",
|
||||
name: "GPT-5.6 Sol",
|
||||
reasoning: true,
|
||||
reasoning_options: [{ type: "effort", values: ["none", "low", "medium", "high", "xhigh", "max"] }],
|
||||
limit: { context: 128_000, output: 64_000 },
|
||||
},
|
||||
},
|
||||
} as unknown as ModelsDev.Provider
|
||||
|
||||
expect(Provider.fromModelsDevProvider(provider).models["openai/gpt-5.6-sol"].variants).toEqual({
|
||||
none: { reasoningEffort: "none" },
|
||||
low: { reasoningEffort: "low" },
|
||||
medium: { reasoningEffort: "medium" },
|
||||
high: { reasoningEffort: "high" },
|
||||
xhigh: { reasoningEffort: "xhigh" },
|
||||
max: { reasoningEffort: "max" },
|
||||
})
|
||||
})
|
||||
|
||||
test("public provider info omits invalid models", () => {
|
||||
const provider = Provider.fromModelsDevProvider({
|
||||
id: "test",
|
||||
|
||||
@@ -3272,6 +3272,37 @@ describe("ProviderTransform sampling defaults - Gemini", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform sampling defaults - DeepSeek", () => {
|
||||
const model = (providerID: string, id: string) =>
|
||||
({
|
||||
id: `${providerID}/${id}`,
|
||||
providerID,
|
||||
api: { id },
|
||||
}) as any
|
||||
|
||||
test.each([
|
||||
["deepseek", "deepseek-v4-flash"],
|
||||
["opencode", "deepseek-v4-flash"],
|
||||
["opencode-go", "deepseek-v4-flash"],
|
||||
["openrouter", "deepseek/deepseek-v4-flash-0731"],
|
||||
["ollama-cloud", "deepseek-v4-flash:0731"],
|
||||
])("defaults top_p for %s/%s", (providerID, id) => {
|
||||
expect(ProviderTransform.temperature(model(providerID, id))).toBeUndefined()
|
||||
expect(ProviderTransform.topP(model(providerID, id))).toBe(0.95)
|
||||
expect(ProviderTransform.topK(model(providerID, id))).toBeUndefined()
|
||||
})
|
||||
|
||||
test.each([
|
||||
["openrouter", "deepseek/deepseek-v4-flash"],
|
||||
["vercel", "deepseek/deepseek-v4-flash"],
|
||||
["custom", "deepseek-ai/DeepSeek-V4-Flash"],
|
||||
])("preserves legacy defaults for %s/%s", (providerID, id) => {
|
||||
expect(ProviderTransform.temperature(model(providerID, id))).toBeUndefined()
|
||||
expect(ProviderTransform.topP(model(providerID, id))).toBeUndefined()
|
||||
expect(ProviderTransform.topK(model(providerID, id))).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform.reasoningVariants", () => {
|
||||
const model = (reasoning_options: ModelsDev.Model["reasoning_options"]) => ({ reasoning_options }) as ModelsDev.Model
|
||||
const target = (npm: string, id = "test-model") =>
|
||||
@@ -3339,6 +3370,7 @@ describe("ProviderTransform.reasoningVariants", () => {
|
||||
["@ai-sdk/togetherai", { reasoningEffort: "high" }],
|
||||
["venice-ai-sdk-provider", { reasoningEffort: "high" }],
|
||||
["ai-gateway-provider", { reasoningEffort: "high" }],
|
||||
["merge-gateway-ai-sdk-provider", { reasoningEffort: "high" }],
|
||||
["@ai-sdk/amazon-bedrock", { reasoningConfig: { type: "enabled", maxReasoningEffort: "high" } }],
|
||||
])("converts effort for %s", (npm, expected, ...args) => {
|
||||
const id = args[0] as string | undefined
|
||||
@@ -5524,6 +5556,25 @@ describe("ProviderTransform.providerOptions - ai-gateway-provider", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform.providerOptions - merge-gateway-ai-sdk-provider", () => {
|
||||
const model = {
|
||||
id: "merge-gateway/openai/gpt-5.6-sol",
|
||||
providerID: "merge-gateway",
|
||||
api: {
|
||||
id: "openai/gpt-5.6-sol",
|
||||
url: "https://api-gateway.merge.dev/v1/ai-sdk",
|
||||
npm: "merge-gateway-ai-sdk-provider",
|
||||
},
|
||||
capabilities: { reasoning: true },
|
||||
} as any
|
||||
|
||||
test("routes normalized effort under the adapter's mergeGateway key", () => {
|
||||
expect(ProviderTransform.providerOptions(model, { reasoningEffort: "high" })).toEqual({
|
||||
mergeGateway: { reasoningEffort: "high" },
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform.options - kimi family adaptive thinking", () => {
|
||||
const createModel = (overrides: Record<string, any> = {}) =>
|
||||
({
|
||||
|
||||
@@ -365,6 +365,20 @@ function autocontinue(enabled: boolean) {
|
||||
})
|
||||
}
|
||||
|
||||
function compactionContext(context: string) {
|
||||
return Layer.mock(Plugin.Service)({
|
||||
trigger: <Name extends string, Input, Output>(name: Name, _input: Input, output: Output) => {
|
||||
if (name !== "experimental.session.compacting") return Effect.succeed(output)
|
||||
return Effect.sync(() => {
|
||||
;(output as { context: string[] }).context.push(context)
|
||||
return output
|
||||
})
|
||||
},
|
||||
list: () => Effect.succeed([]),
|
||||
init: () => Effect.void,
|
||||
})
|
||||
}
|
||||
|
||||
describe("session.compaction.isOverflow", () => {
|
||||
it.live(
|
||||
"returns true when token count exceeds usable context",
|
||||
@@ -1389,11 +1403,21 @@ describe("session.compaction.process", () => {
|
||||
const captured = JSON.stringify(messages)
|
||||
expect(messages).toHaveLength(1)
|
||||
expect(messages[0]?.role).toBe("user")
|
||||
expect(captured).toContain("Here is the conversation so far:")
|
||||
expect(captured).toContain("<conversation>")
|
||||
expect(captured.indexOf("[User]: older context")).toBeLessThan(
|
||||
captured.indexOf("Create a new anchored summary"),
|
||||
)
|
||||
expect(captured).toContain("[User]: older context")
|
||||
expect(captured).not.toContain("keep this turn")
|
||||
expect(captured).not.toContain("and this one too")
|
||||
expect(captured).not.toContain("What did we do so far?")
|
||||
}).pipe(withCompaction({ llm: stub.llmLayer }))
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
config: cfg({ tail_turns: 2, preserve_recent_tokens: 10_000 }),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
@@ -1430,9 +1454,11 @@ describe("session.compaction.process", () => {
|
||||
expect(parent).toBeTruthy()
|
||||
yield* SessionCompaction.use.process({ parentID: parent!, messages: msgs, sessionID: session.id, auto: false })
|
||||
|
||||
expect(captured).toContain("<previous-summary>")
|
||||
expect(captured).toContain("<prior-summary>")
|
||||
expect(captured).toContain("summary one")
|
||||
expect(captured.match(/summary one/g)?.length).toBe(1)
|
||||
expect(captured.indexOf("latest turn")).toBeLessThan(captured.indexOf("<prior-summary>"))
|
||||
expect(captured).toContain("summary of the conversation before the <conversation> above")
|
||||
expect(captured).toContain("## Important Details")
|
||||
expect(captured).toContain("## Work State")
|
||||
}).pipe(withCompaction({ llm: stub.llmLayer }))
|
||||
@@ -1440,6 +1466,49 @@ describe("session.compaction.process", () => {
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
itCompaction.instance(
|
||||
"keeps plugin context outside the serialized conversation",
|
||||
() => {
|
||||
const stub = llm()
|
||||
let captured = ""
|
||||
stub.push(
|
||||
reply("summary", (input) => {
|
||||
captured = JSON.stringify(input.messages)
|
||||
}),
|
||||
)
|
||||
|
||||
return Effect.gen(function* () {
|
||||
const ssn = yield* SessionNs.Service
|
||||
const session = yield* ssn.create({})
|
||||
yield* createUserMessage(session.id, "older context")
|
||||
yield* createUserMessage(session.id, "keep this turn")
|
||||
yield* createUserMessage(session.id, "and this one too")
|
||||
yield* createCompactionMarker(session.id)
|
||||
|
||||
const msgs = yield* ssn.messages({ sessionID: session.id })
|
||||
const parent = msgs.at(-1)?.info.id
|
||||
expect(parent).toBeTruthy()
|
||||
yield* SessionCompaction.use.process({
|
||||
parentID: parent!,
|
||||
messages: msgs,
|
||||
sessionID: session.id,
|
||||
auto: false,
|
||||
})
|
||||
|
||||
expect(captured).toContain("Prioritize unresolved migration details")
|
||||
expect(captured.indexOf("</conversation>")).toBeLessThan(
|
||||
captured.indexOf("Prioritize unresolved migration details"),
|
||||
)
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
plugin: compactionContext("Prioritize unresolved migration details"),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
itCompaction.instance(
|
||||
"serializes repeated compaction history as one user message",
|
||||
() => {
|
||||
|
||||
@@ -35,10 +35,18 @@ function wrap(message: unknown): ReturnType<NamedError["toObject"]> {
|
||||
describe("session.retry.delay", () => {
|
||||
test("caps delay at 30 seconds when headers missing", () => {
|
||||
const error = apiError()
|
||||
const delays = Array.from({ length: 10 }, (_, index) => SessionRetry.delay(index + 1, error))
|
||||
const delays = Array.from({ length: 10 }, (_, index) => SessionRetry.delay(index + 1, error, 0))
|
||||
expect(delays).toStrictEqual([2000, 4000, 8000, 16000, 30000, 30000, 30000, 30000, 30000, 30000])
|
||||
})
|
||||
|
||||
test("adds jitter to exponential delays", () => {
|
||||
const error = apiError()
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 1)).toBe(2500)
|
||||
expect(SessionRetry.delay(4, error, 1)).toBe(20000)
|
||||
expect(SessionRetry.delay(5, error, 1)).toBe(30000)
|
||||
})
|
||||
|
||||
test("prefers retry-after-ms when shorter than exponential", () => {
|
||||
const error = apiError({ "retry-after-ms": "1500" })
|
||||
expect(SessionRetry.delay(4, error)).toBe(1500)
|
||||
@@ -59,18 +67,18 @@ describe("session.retry.delay", () => {
|
||||
|
||||
test("ignores invalid retry hints", () => {
|
||||
const error = apiError({ "retry-after": "not-a-number" })
|
||||
expect(SessionRetry.delay(1, error)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
})
|
||||
|
||||
test("ignores malformed date retry hints", () => {
|
||||
const error = apiError({ "retry-after": "Invalid Date String" })
|
||||
expect(SessionRetry.delay(1, error)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
})
|
||||
|
||||
test("ignores past date retry hints", () => {
|
||||
const pastDate = new Date(Date.now() - 5000).toUTCString()
|
||||
const error = apiError({ "retry-after": pastDate })
|
||||
expect(SessionRetry.delay(1, error)).toBe(2000)
|
||||
expect(SessionRetry.delay(1, error, 0)).toBe(2000)
|
||||
})
|
||||
|
||||
test("uses retry-after values even when exceeding 10 minutes with headers", () => {
|
||||
@@ -115,6 +123,29 @@ describe("session.retry.delay", () => {
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.instance("policy stops after five retries", () =>
|
||||
Effect.gen(function* () {
|
||||
const attempts: number[] = []
|
||||
const error = apiError({ "retry-after-ms": "0" })
|
||||
const step = yield* Schedule.toStepWithMetadata(
|
||||
SessionRetry.policy({
|
||||
provider: "test",
|
||||
parse: Schema.decodeUnknownSync(SessionV1.APIError.Schema),
|
||||
set: (info) =>
|
||||
Effect.sync(() => {
|
||||
attempts.push(info.attempt)
|
||||
}),
|
||||
}),
|
||||
)
|
||||
|
||||
yield* Effect.forEach(Array.from({ length: SessionRetry.RETRY_MAX_RETRIES + 1 }), () =>
|
||||
Effect.ignore(step(error)),
|
||||
)
|
||||
|
||||
expect(attempts).toStrictEqual([1, 2, 3, 4, 5])
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
describe("session.retry.retryable", () => {
|
||||
|
||||
@@ -85,9 +85,28 @@ const it = testEffect(
|
||||
|
||||
describe("session.system", () => {
|
||||
test("selects the Meta prompt for Muse Spark model IDs", () => {
|
||||
expect(SystemPrompt.provider({ api: { id: "meta/muse-spark-preview" } } as Provider.Model)[0]).toContain(
|
||||
"Meta Muse Spark",
|
||||
)
|
||||
for (const id of ["meta/muse-spark-preview", "muse-spark-1.1", "muse-spark-1.2"]) {
|
||||
const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
|
||||
expect(prompt).toContain("powered by Muse Spark,")
|
||||
expect(prompt).toContain("using Meta Muse Spark.")
|
||||
expect(prompt).not.toContain("{{MODEL_NAME}}")
|
||||
}
|
||||
})
|
||||
|
||||
test("selects the Meta prompt for Muse Glimmer model IDs", () => {
|
||||
for (const id of ["meta/muse-glimmer", "meta/muse-glimmer-30b", "muse-glimmer-30b"]) {
|
||||
const prompt = SystemPrompt.provider({ api: { id } } as Provider.Model)[0]
|
||||
expect(prompt).toContain("powered by Muse Glimmer,")
|
||||
expect(prompt).toContain("using Meta Muse Glimmer.")
|
||||
expect(prompt).not.toContain("{{MODEL_NAME}}")
|
||||
}
|
||||
})
|
||||
|
||||
test("selects the Kimi prompt for official provider model IDs", () => {
|
||||
for (const providerID of ["kimi-for-coding", "moonshotai", "moonshotai-cn"]) {
|
||||
const prompt = SystemPrompt.provider({ providerID, api: { id: "k3" } } as Provider.Model)[0]
|
||||
expect(prompt).toContain("# Prompt and Tool Use")
|
||||
}
|
||||
})
|
||||
|
||||
it.effect("skills output is sorted by name and stable across calls", () =>
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -5,6 +5,10 @@ import { PreloadMultiFileDiffResult } from "@pierre/diffs/ssr"
|
||||
|
||||
export type NormalizedProviderListResponse = {
|
||||
all: Map<string, Provider>
|
||||
defaultModel?: {
|
||||
providerID: string
|
||||
modelID: string
|
||||
} | null
|
||||
default: {
|
||||
[key: string]: string
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
@@ -12,6 +12,7 @@
|
||||
"./database": "./src/database.ts",
|
||||
"./database/*": "./src/database/*.ts",
|
||||
"./domain/*": "./src/domain/*.ts",
|
||||
"./r2-sql": "./src/r2-sql.ts",
|
||||
"./runtime": "./src/runtime.ts",
|
||||
"./stat-sync": "./src/stat-sync.ts"
|
||||
},
|
||||
|
||||
@@ -9,7 +9,7 @@ import { Effect, Layer } from "effect"
|
||||
import * as Context from "effect/Context"
|
||||
import { Resource } from "sst/resource"
|
||||
|
||||
const ATHENA_MAX_POLL_ATTEMPTS = 300
|
||||
const ATHENA_MAX_POLL_ATTEMPTS = 900
|
||||
const ATHENA_PAGE_SIZE = 1000
|
||||
|
||||
export type AthenaData = Record<string, string>
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
|
||||
import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
|
||||
import { modelAuthor, normalizeInferenceModel, statModel, statProvider } from "./model-normalization"
|
||||
|
||||
describe("inference stat normalization", () => {
|
||||
@@ -82,6 +82,55 @@ describe("inference stat normalization", () => {
|
||||
}),
|
||||
).toMatchObject([{ period_key: "2026-W20" }])
|
||||
})
|
||||
|
||||
test("builds bounded R2 SQL queries for each day and week", () => {
|
||||
const queries = buildStatsQueries(new Date("2026-08-10T00:00:00.000Z"), new Date("2026-08-12T12:00:00.000Z"), {
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
dataset: "zen",
|
||||
})
|
||||
|
||||
expect(queries).toHaveLength(8)
|
||||
expect(queries[0]).toContain("'week' AS grain")
|
||||
expect(queries[0]).toContain("'2026-W33' AS period_key")
|
||||
expect(queries[2]).toContain("'2026-08-10' AS period_key")
|
||||
expect(queries[6]).toContain("'2026-08-12' AS period_key")
|
||||
expect(queries[0]).toContain('FROM "inference"."generation"')
|
||||
expect(queries[0]).toContain("event_type = 'generation.completed'")
|
||||
expect(queries[0]).toContain("product = 'go'")
|
||||
expect(queries[0]).toContain("LIMIT 10000")
|
||||
expect(queries[0]).toContain("approx_distinct(session) AS sessions")
|
||||
expect(queries[1]).toContain("'geo_model' ELSE 'geo'")
|
||||
expect(queries[1]).toContain("0 AS sessions")
|
||||
})
|
||||
|
||||
test("aligns periods to UTC calendar boundaries", () => {
|
||||
const queries = buildStatsQueries(new Date("2026-06-17T15:56:00.000Z"), new Date("2026-06-19T15:56:00.000Z"), {
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
dataset: "zen",
|
||||
})
|
||||
|
||||
expect(queries).toHaveLength(8)
|
||||
expect(queries[0]).toContain("'2026-W25' AS period_key")
|
||||
expect(queries[0]).toContain("started_at >= '2026-06-15T00:00:00.000Z'")
|
||||
expect(queries[2]).toContain("'2026-06-17' AS period_key")
|
||||
expect(queries[2]).toContain("started_at >= '2026-06-17T00:00:00.000Z'")
|
||||
expect(queries[2]).toContain("started_at < '2026-06-18T00:00:00.000Z'")
|
||||
expect(queries[6]).toContain("'2026-06-19' AS period_key")
|
||||
expect(queries[6]).toContain("started_at < '2026-06-19T15:56:00.000Z'")
|
||||
})
|
||||
|
||||
test("uses an exclusive live and legacy source handoff", () => {
|
||||
const [query] = buildStatsQueries(new Date("2026-08-11T00:00:00.000Z"), new Date("2026-08-12T00:00:00.000Z"), {
|
||||
namespace: "inference",
|
||||
table: "generation",
|
||||
dataset: "zen",
|
||||
})
|
||||
|
||||
expect(query).toContain("(source = 'inference-legacy' AND started_at < '2026-08-11T10:57:48.186Z')")
|
||||
expect(query).toContain("(source = 'inference' AND started_at >= '2026-08-11T10:57:48.186Z')")
|
||||
})
|
||||
})
|
||||
|
||||
function aggregate(model: string, provider: string) {
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { Resource } from "sst/resource"
|
||||
import type { AthenaData } from "../athena"
|
||||
import type { R2SqlData } from "../r2-sql"
|
||||
import type { GeoStatAggregate } from "./geo"
|
||||
import type { ModelStatAggregate } from "./model"
|
||||
import {
|
||||
@@ -10,25 +10,80 @@ import {
|
||||
statProvider,
|
||||
} from "./model-normalization"
|
||||
import type { ProviderStatAggregate } from "./provider"
|
||||
import { normalizeCountry, normalizeTier, type StatBaseAggregate } from "./stat"
|
||||
import {
|
||||
normalizeCountry,
|
||||
normalizeTier,
|
||||
periodKeyFor,
|
||||
startOfIsoWeek,
|
||||
startOfUtcDay,
|
||||
type StatBaseAggregate,
|
||||
} from "./stat"
|
||||
|
||||
export type StatDimension = "model" | "provider" | "geo" | "geo_model"
|
||||
export type StatsQuerySource = { namespace: string; table: string; dataset: string }
|
||||
type StatsQueryFamily = "usage" | "geo"
|
||||
|
||||
// All stat dimensions and both grains are computed in one query via GROUPING SETS so
|
||||
// the source table is scanned once per sync pass; separate queries per dimension (and
|
||||
// the previous weekly/daily UNION ALL) each re-scanned the same events.
|
||||
export function buildStatsQuery(periodStart: Date, periodEnd: Date) {
|
||||
const periodStartValue = sqlString(periodStart.toISOString())
|
||||
const periodEndValue = sqlString(periodEnd.toISOString())
|
||||
const periodStartDateValue = sqlString(periodStart.toISOString().slice(0, 10))
|
||||
const periodEndDateValue = sqlString(periodEnd.toISOString().slice(0, 10))
|
||||
const sourceTable = [Resource.InferenceEvent.catalog, Resource.InferenceEvent.database, Resource.InferenceEvent.table]
|
||||
.map(sqlIdentifier)
|
||||
.join(".")
|
||||
const DAY_MS = 86_400_000
|
||||
const WEEK_MS = 7 * DAY_MS
|
||||
// The typed production stream began before the legacy backfill's original end
|
||||
// boundary. Use one exclusive handoff so the overlapping rows are never counted
|
||||
// from both sources.
|
||||
const LIVE_SOURCE_START = "2026-08-11T10:57:48.186Z"
|
||||
|
||||
// R2 SQL limits result sets to 10,000 rows and does not support OFFSET. Two
|
||||
// queries per day/week keep each result bounded and avoid combining the costly
|
||||
// distinct user/session aggregates with the high-cardinality geo dimensions.
|
||||
export function buildStatsQueries(periodStart: Date, periodEnd: Date, input?: StatsQuerySource) {
|
||||
const source = input ?? {
|
||||
namespace: Resource.R2Sql.namespace,
|
||||
table: Resource.R2Sql.table,
|
||||
dataset: Resource.StatsSyncConfig.dataset,
|
||||
}
|
||||
return [...statPeriods("week", periodStart, periodEnd), ...statPeriods("day", periodStart, periodEnd)].flatMap(
|
||||
(period) => [buildStatsQuery(period, source, "usage"), buildStatsQuery(period, source, "geo")],
|
||||
)
|
||||
}
|
||||
|
||||
function buildStatsQuery(
|
||||
period: { grain: "day" | "week"; key: string; start: Date; end: Date },
|
||||
source: StatsQuerySource,
|
||||
family: StatsQueryFamily,
|
||||
) {
|
||||
const periodStartValue = sqlString(period.start.toISOString())
|
||||
const periodEndValue = sqlString(period.end.toISOString())
|
||||
const ingestEndValue = sqlString(new Date(period.end.getTime() + DAY_MS).toISOString())
|
||||
const sourceTable = [source.namespace, source.table].map(sqlIdentifier).join(".")
|
||||
const dimensions =
|
||||
family === "usage"
|
||||
? `CASE WHEN grouping(model) = 0 THEN 'model' ELSE 'provider' END AS dimension,
|
||||
tier,
|
||||
provider,
|
||||
CASE WHEN grouping(model) = 0 THEN model END AS model,
|
||||
CASE WHEN grouping(model) = 0 THEN COALESCE(MAX(NULLIF(provider_model, '')), '') END AS provider_model,
|
||||
null AS country,
|
||||
null AS continent`
|
||||
: `CASE WHEN grouping(model) = 0 THEN 'geo_model' ELSE 'geo' END AS dimension,
|
||||
tier,
|
||||
CASE WHEN grouping(model) = 0 THEN provider ELSE 'all' END AS provider,
|
||||
CASE WHEN grouping(model) = 0 THEN model ELSE 'all' END AS model,
|
||||
null AS provider_model,
|
||||
country,
|
||||
COALESCE(MAX(NULLIF(continent, '')), '') AS continent`
|
||||
const distinctColumns =
|
||||
family === "usage"
|
||||
? `approx_distinct(session) AS sessions,
|
||||
approx_distinct(user_key) AS unique_users`
|
||||
: `0 AS sessions,
|
||||
0 AS unique_users`
|
||||
const groupingSets =
|
||||
family === "usage"
|
||||
? `(tier, provider, model),
|
||||
(tier, provider)`
|
||||
: `(tier, country),
|
||||
(tier, provider, model, country)`
|
||||
const aggregateColumns = `
|
||||
COUNT(DISTINCT session) AS sessions,
|
||||
${distinctColumns},
|
||||
COUNT(*) AS requests,
|
||||
COUNT(DISTINCT user_key) AS unique_users,
|
||||
COALESCE(SUM(tokens_input), 0) AS input_tokens,
|
||||
COALESCE(SUM(tokens_output), 0) AS output_tokens,
|
||||
COALESCE(SUM(tokens_reasoning), 0) AS reasoning_tokens,
|
||||
@@ -38,65 +93,61 @@ export function buildStatsQuery(periodStart: Date, periodEnd: Date) {
|
||||
COALESCE(SUM(cost_output_microcents), 0) AS output_cost_microcents,
|
||||
COALESCE(SUM(cost_total_microcents), 0) AS total_cost_microcents,
|
||||
AVG(duration_ms) AS avg_duration_ms,
|
||||
approx_percentile(CAST(duration_ms AS double), 0.5) AS p50_duration_ms,
|
||||
approx_percentile(CAST(duration_ms AS double), 0.95) AS p95_duration_ms,
|
||||
null AS p50_duration_ms,
|
||||
null AS p95_duration_ms,
|
||||
AVG(ttfb_ms) AS avg_ttfb_ms,
|
||||
approx_percentile(CAST(ttfb_ms AS double), 0.5) AS p50_ttfb_ms,
|
||||
approx_percentile(CAST(ttfb_ms AS double), 0.95) AS p95_ttfb_ms,
|
||||
null AS p50_ttfb_ms,
|
||||
null AS p95_ttfb_ms,
|
||||
AVG(output_tps) AS avg_output_tps,
|
||||
SUM(CASE WHEN status >= 200 AND status < 400 THEN 1 ELSE 0 END) AS success_count,
|
||||
SUM(CASE WHEN status >= 400 THEN 1 ELSE 0 END) AS error_count,
|
||||
SUM(CASE WHEN outcome = 'succeeded' THEN 1 ELSE 0 END) AS success_count,
|
||||
SUM(CASE WHEN outcome = 'failed' THEN 1 ELSE 0 END) AS error_count,
|
||||
COUNT(*) AS sample_count`
|
||||
|
||||
return `
|
||||
WITH normalized AS (
|
||||
SELECT
|
||||
from_iso8601_timestamp(event_timestamp) AS event_time,
|
||||
model AS raw_model,
|
||||
${statModelSql("model", "provider_model")} AS model,
|
||||
COALESCE(NULLIF(provider_model, ''), '') AS provider_model,
|
||||
COALESCE(NULLIF(provider, ''), '') AS raw_provider,
|
||||
UPPER(COALESCE(NULLIF(cf_country, ''), 'ZZ')) AS country,
|
||||
COALESCE(NULLIF(cf_continent, ''), '') AS continent,
|
||||
session,
|
||||
COALESCE(NULLIF(workspace, ''), '') AS workspace,
|
||||
COALESCE(NULLIF(api_key, ''), '') AS api_key,
|
||||
model_requested AS raw_model,
|
||||
${statModelSql("model_requested", "route_model")} AS model,
|
||||
COALESCE(NULLIF(route_model, ''), '') AS provider_model,
|
||||
COALESCE(NULLIF(provider_id, ''), '') AS raw_provider,
|
||||
UPPER(COALESCE(NULLIF(country, ''), 'ZZ')) AS country,
|
||||
COALESCE(NULLIF(continent, ''), '') AS continent,
|
||||
session_id AS session,
|
||||
COALESCE(NULLIF(workspace_id, ''), '') AS workspace,
|
||||
COALESCE(NULLIF(service_api_key_id, ''), '') AS api_key,
|
||||
COALESCE(NULLIF(user_id, ''), '') AS user_id,
|
||||
status,
|
||||
duration AS duration_ms,
|
||||
time_to_first_byte AS ttfb_ms,
|
||||
timestamp_first_byte,
|
||||
timestamp_last_byte,
|
||||
outcome,
|
||||
duration_ms,
|
||||
time_to_first_token_ms AS ttfb_ms,
|
||||
CASE
|
||||
WHEN first_token_at IS NULL OR last_token_at IS NULL THEN null
|
||||
ELSE date_part('epoch', last_token_at) - date_part('epoch', first_token_at)
|
||||
END AS output_seconds,
|
||||
tokens_input,
|
||||
tokens_output,
|
||||
tokens_reasoning,
|
||||
tokens_cache_read,
|
||||
tokens_cache_write_5m,
|
||||
tokens_cache_write_1h,
|
||||
cost_input_microcents,
|
||||
cost_output_microcents,
|
||||
cost_total_microcents,
|
||||
cost_input,
|
||||
cost_output,
|
||||
cost_total,
|
||||
source
|
||||
tokens_cache_write,
|
||||
cost_input AS cost_input_microcents,
|
||||
cost_output AS cost_output_microcents,
|
||||
cost_total AS cost_total_microcents
|
||||
FROM ${sourceTable}
|
||||
WHERE event_type = 'completions'
|
||||
AND model IS NOT NULL
|
||||
AND model <> ''
|
||||
AND source = 'lite'
|
||||
AND event_date >= ${periodStartDateValue}
|
||||
AND event_date <= ${periodEndDateValue}
|
||||
AND event_timestamp >= ${periodStartValue}
|
||||
AND event_timestamp < ${periodEndValue}
|
||||
WHERE event_type = 'generation.completed'
|
||||
AND source IN ('inference', 'inference-legacy')
|
||||
AND (
|
||||
(source = 'inference-legacy' AND started_at < ${sqlString(LIVE_SOURCE_START)})
|
||||
OR (source = 'inference' AND started_at >= ${sqlString(LIVE_SOURCE_START)})
|
||||
)
|
||||
AND product = 'go'
|
||||
AND model_requested IS NOT NULL
|
||||
AND model_requested <> ''
|
||||
AND __ingest_ts >= ${periodStartValue}
|
||||
AND __ingest_ts < ${ingestEndValue}
|
||||
AND started_at >= ${periodStartValue}
|
||||
AND started_at < ${periodEndValue}
|
||||
), filtered AS (
|
||||
SELECT
|
||||
event_time,
|
||||
CASE
|
||||
WHEN source = 'lite' THEN 'Go'
|
||||
WHEN raw_model IN ('gpt-5-nano', 'grok-code', 'big-pickle') OR regexp_like(raw_model, '-free(:global)?$') THEN 'Free'
|
||||
ELSE 'Paid'
|
||||
END AS tier,
|
||||
'Go' AS tier,
|
||||
${statProviderSql("model", "provider_model", "raw_provider")} AS provider,
|
||||
provider_model,
|
||||
model,
|
||||
@@ -104,63 +155,39 @@ WITH normalized AS (
|
||||
continent,
|
||||
session,
|
||||
COALESCE(NULLIF(user_id, ''), NULLIF(workspace, ''), NULLIF(api_key, '')) AS user_key,
|
||||
status,
|
||||
outcome,
|
||||
duration_ms,
|
||||
ttfb_ms,
|
||||
CASE
|
||||
WHEN timestamp_last_byte - timestamp_first_byte < 100 THEN null
|
||||
ELSE CAST(tokens_output AS double) / (timestamp_last_byte - timestamp_first_byte) * 1000
|
||||
WHEN output_seconds < 0.1 THEN null
|
||||
ELSE CAST(tokens_output AS double) / output_seconds
|
||||
END AS output_tps,
|
||||
tokens_input,
|
||||
tokens_output,
|
||||
tokens_reasoning,
|
||||
tokens_cache_read,
|
||||
COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write_5m, 0) + COALESCE(tokens_cache_write_1h, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
|
||||
COALESCE(cost_input_microcents, cost_input * 1000000) AS cost_input_microcents,
|
||||
COALESCE(cost_output_microcents, cost_output * 1000000) AS cost_output_microcents,
|
||||
COALESCE(cost_total_microcents, cost_total * 1000000) AS cost_total_microcents
|
||||
COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
|
||||
cost_input_microcents,
|
||||
cost_output_microcents,
|
||||
cost_total_microcents
|
||||
FROM normalized
|
||||
WHERE lower(model) NOT IN (${[...EXCLUDED_MODELS].map(sqlString).join(", ")})
|
||||
), periods AS (
|
||||
SELECT
|
||||
concat(CAST(year_of_week(event_time) AS varchar), '-W', lpad(CAST(week(event_time) AS varchar), 2, '0')) AS week_key,
|
||||
substr(to_iso8601(date_trunc('day', event_time)), 1, 10) AS day_key,
|
||||
*
|
||||
FROM filtered
|
||||
)
|
||||
SELECT
|
||||
CASE WHEN grouping(week_key) = 0 THEN 'week' ELSE 'day' END AS grain,
|
||||
COALESCE(week_key, day_key) AS period_key,
|
||||
${sqlString(Resource.StatsSyncConfig.dataset)} AS dataset,
|
||||
CASE
|
||||
WHEN grouping(country) = 0 AND grouping(model) = 0 THEN 'geo_model'
|
||||
WHEN grouping(country) = 0 THEN 'geo'
|
||||
WHEN grouping(model) = 0 THEN 'model'
|
||||
ELSE 'provider'
|
||||
END AS dimension,
|
||||
tier,
|
||||
CASE WHEN grouping(provider) = 0 THEN provider ELSE 'all' END AS provider,
|
||||
CASE WHEN grouping(model) = 0 THEN model WHEN grouping(country) = 0 THEN 'all' END AS model,
|
||||
CASE WHEN grouping(model) = 0 AND grouping(country) = 1 THEN COALESCE(MAX(NULLIF(provider_model, '')), '') END AS provider_model,
|
||||
CASE WHEN grouping(country) = 0 THEN country END AS country,
|
||||
CASE WHEN grouping(country) = 0 THEN COALESCE(MAX(NULLIF(continent, '')), '') END AS continent,
|
||||
${sqlString(period.grain)} AS grain,
|
||||
${sqlString(period.key)} AS period_key,
|
||||
${sqlString(source.dataset)} AS dataset,
|
||||
${dimensions},
|
||||
${aggregateColumns}
|
||||
FROM periods
|
||||
FROM filtered
|
||||
GROUP BY GROUPING SETS (
|
||||
(week_key, tier, provider, model),
|
||||
(week_key, tier, provider),
|
||||
(week_key, tier, country),
|
||||
(week_key, tier, provider, model, country),
|
||||
(day_key, tier, provider, model),
|
||||
(day_key, tier, provider),
|
||||
(day_key, tier, country),
|
||||
(day_key, tier, provider, model, country)
|
||||
${groupingSets}
|
||||
)
|
||||
ORDER BY grain, period_key, total_tokens DESC
|
||||
LIMIT 10000
|
||||
`
|
||||
}
|
||||
|
||||
export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
|
||||
export function toModelAggregate(data: R2SqlData): ModelStatAggregate[] {
|
||||
const model = statModel(data.model, data.provider_model)
|
||||
const provider = statProvider(model, data.provider_model, data.provider)
|
||||
if (!provider) return []
|
||||
@@ -170,13 +197,13 @@ export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
|
||||
])
|
||||
}
|
||||
|
||||
export function toProviderAggregate(data: AthenaData): ProviderStatAggregate[] {
|
||||
export function toProviderAggregate(data: R2SqlData): ProviderStatAggregate[] {
|
||||
return toStatBaseAggregate(data).flatMap((base) => [
|
||||
{ ...base, provider: statProvider(data.model, data.provider_model, data.provider) || "unknown" },
|
||||
])
|
||||
}
|
||||
|
||||
export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
|
||||
export function toGeoAggregate(data: R2SqlData): GeoStatAggregate[] {
|
||||
return toStatBaseAggregate(data).flatMap((base) => [
|
||||
{
|
||||
...base,
|
||||
@@ -188,7 +215,7 @@ export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
|
||||
])
|
||||
}
|
||||
|
||||
function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
|
||||
function toStatBaseAggregate(data: R2SqlData): StatBaseAggregate[] {
|
||||
const grain = data.grain === "day" || data.grain === "week" ? data.grain : undefined
|
||||
if (!grain || !data.period_key) return []
|
||||
|
||||
@@ -223,21 +250,21 @@ function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
|
||||
]
|
||||
}
|
||||
|
||||
function integer(data: AthenaData, key: string) {
|
||||
function integer(data: R2SqlData, key: string) {
|
||||
return Math.round(number(data, key))
|
||||
}
|
||||
|
||||
function nullableNumber(data: AthenaData, key: string) {
|
||||
function nullableNumber(data: R2SqlData, key: string) {
|
||||
if (data[key] === undefined || data[key] === "") return null
|
||||
return Number(number(data, key).toFixed(2))
|
||||
}
|
||||
|
||||
function nullableInteger(data: AthenaData, key: string) {
|
||||
function nullableInteger(data: R2SqlData, key: string) {
|
||||
if (data[key] === undefined || data[key] === "") return null
|
||||
return Math.round(number(data, key))
|
||||
}
|
||||
|
||||
function number(data: AthenaData, key: string) {
|
||||
function number(data: R2SqlData, key: string) {
|
||||
const value = Number(data[key])
|
||||
return Number.isFinite(value) ? value : 0
|
||||
}
|
||||
@@ -250,6 +277,21 @@ function sqlString(value: string) {
|
||||
return `'${value.replace(/'/g, "''")}'`
|
||||
}
|
||||
|
||||
function statPeriods(grain: "day" | "week", periodStart: Date, periodEnd: Date) {
|
||||
const interval = grain === "day" ? DAY_MS : WEEK_MS
|
||||
const first = grain === "day" ? startOfUtcDay(periodStart) : startOfIsoWeek(periodStart)
|
||||
const count = Math.max(0, Math.ceil((periodEnd.getTime() - first.getTime()) / interval))
|
||||
return Array.from({ length: count }, (_, index) => {
|
||||
const start = new Date(first.getTime() + index * interval)
|
||||
return {
|
||||
grain,
|
||||
key: periodKeyFor(grain, start),
|
||||
start,
|
||||
end: new Date(Math.min(start.getTime() + interval, periodEnd.getTime())),
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
function statModelSql(model: string, providerModel: string) {
|
||||
return `COALESCE(NULLIF(regexp_replace(CASE
|
||||
WHEN lower(${model}) = 'big-pickle' THEN NULLIF(${providerModel}, '')
|
||||
|
||||
@@ -0,0 +1,105 @@
|
||||
import { Context, Effect, Layer, Schema } from "effect"
|
||||
import { Resource } from "sst/resource"
|
||||
|
||||
const R2_SQL_MAX_ROWS = 10_000
|
||||
const R2SqlValue = Schema.Union([Schema.String, Schema.Number, Schema.Boolean, Schema.Null])
|
||||
const R2SqlResponse = Schema.Struct({
|
||||
success: Schema.Boolean,
|
||||
result: Schema.optional(
|
||||
Schema.NullOr(
|
||||
Schema.Struct({
|
||||
request_id: Schema.String,
|
||||
rows: Schema.Array(Schema.Record(Schema.String, R2SqlValue)),
|
||||
}),
|
||||
),
|
||||
),
|
||||
errors: Schema.Array(Schema.Unknown),
|
||||
})
|
||||
const decodeResponse = Schema.decodeUnknownEffect(Schema.fromJsonString(R2SqlResponse))
|
||||
|
||||
export type R2SqlData = Record<string, string>
|
||||
|
||||
export class R2SqlQueryError extends Error {
|
||||
readonly _tag = "R2SqlQueryError"
|
||||
readonly requestId?: string
|
||||
readonly status?: number
|
||||
|
||||
constructor(input: { message: string; requestId?: string; status?: number; cause?: unknown }) {
|
||||
super(input.message, { cause: input.cause })
|
||||
this.name = "R2SqlQueryError"
|
||||
this.requestId = input.requestId
|
||||
this.status = input.status
|
||||
}
|
||||
}
|
||||
|
||||
export declare namespace R2Sql {
|
||||
export interface Service {
|
||||
readonly query: (query: string) => Effect.Effect<R2SqlData[], R2SqlQueryError>
|
||||
}
|
||||
}
|
||||
|
||||
export class R2Sql extends Context.Service<R2Sql, R2Sql.Service>()("@opencode/stats/R2Sql") {
|
||||
static readonly layer: Layer.Layer<R2Sql> = Layer.succeed(
|
||||
R2Sql,
|
||||
R2Sql.of({
|
||||
query: Effect.fn("R2Sql.query")(function* (query: string) {
|
||||
const response = yield* Effect.tryPromise({
|
||||
try: () =>
|
||||
Bun.fetch(
|
||||
`https://api.sql.cloudflarestorage.com/api/v1/accounts/${Resource.R2Sql.accountId}/r2-sql/query/${Resource.R2Sql.bucket}`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
Authorization: `Bearer ${Resource.R2SqlAuthToken.value}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({ query }),
|
||||
},
|
||||
),
|
||||
catch: (cause) => new R2SqlQueryError({ message: "Failed to run R2 SQL stats query", cause }),
|
||||
})
|
||||
const body = yield* Effect.tryPromise({
|
||||
try: () => response.text(),
|
||||
catch: (cause) =>
|
||||
new R2SqlQueryError({ message: "Failed to read R2 SQL stats response", status: response.status, cause }),
|
||||
})
|
||||
const decoded = yield* decodeResponse(body).pipe(
|
||||
Effect.mapError(
|
||||
(cause) =>
|
||||
new R2SqlQueryError({
|
||||
message: "R2 SQL returned an invalid stats response",
|
||||
status: response.status,
|
||||
cause,
|
||||
}),
|
||||
),
|
||||
)
|
||||
if (!response.ok || !decoded.success || !decoded.result)
|
||||
return yield* Effect.fail(
|
||||
new R2SqlQueryError({
|
||||
message: `R2 SQL stats query failed: ${JSON.stringify(decoded.errors)}`,
|
||||
requestId: decoded.result?.request_id,
|
||||
status: response.status,
|
||||
}),
|
||||
)
|
||||
|
||||
// R2 SQL has no OFFSET support and caps LIMIT at 10,000. Each stats
|
||||
// query is scoped to one day or week, and reaching the cap is treated as
|
||||
// an error so a newly high-cardinality period can never be truncated.
|
||||
if (decoded.result.rows.length >= R2_SQL_MAX_ROWS)
|
||||
return yield* Effect.fail(
|
||||
new R2SqlQueryError({
|
||||
message: `R2 SQL stats query reached the ${R2_SQL_MAX_ROWS} row limit`,
|
||||
requestId: decoded.result.request_id,
|
||||
status: response.status,
|
||||
}),
|
||||
)
|
||||
|
||||
return decoded.result.rows.map((row) =>
|
||||
Object.fromEntries(
|
||||
Object.entries(row).flatMap(([key, value]) => (value === null ? [] : [[key, String(value)]])),
|
||||
),
|
||||
)
|
||||
}),
|
||||
}),
|
||||
)
|
||||
}
|
||||
+11
@@ -11,6 +11,17 @@ declare module "sst/resource" {
|
||||
type: "sst.sst.Linkable"
|
||||
workgroup: string
|
||||
}
|
||||
R2Sql: {
|
||||
accountId: string
|
||||
bucket: string
|
||||
namespace: string
|
||||
table: string
|
||||
type: "sst.sst.Linkable"
|
||||
}
|
||||
R2SqlAuthToken: {
|
||||
type: "sst.sst.Secret"
|
||||
value: string
|
||||
}
|
||||
StatsSyncConfig: {
|
||||
dataset: string
|
||||
type: "sst.sst.Linkable"
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
import { DateTime, Effect } from "effect"
|
||||
import { Resource } from "sst/resource"
|
||||
import { Athena, AthenaQueryError, AthenaQueryTimeoutError } from "./athena"
|
||||
import { DatabaseError } from "./database"
|
||||
import { GeoStatRepo, rowsFromAggregates as geoRowsFromAggregates } from "./domain/geo"
|
||||
import { buildStatsQuery, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
|
||||
import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
|
||||
import { ModelStatRepo, rowsFromAggregates as modelRowsFromAggregates } from "./domain/model"
|
||||
import { ProviderStatRepo, rowsFromAggregates as providerRowsFromAggregates } from "./domain/provider"
|
||||
import { startOfIsoWeek } from "./domain/stat"
|
||||
import { R2Sql, R2SqlQueryError } from "./r2-sql"
|
||||
|
||||
const DATALAKE_INGESTION_LAG_MS = 5 * 60_000
|
||||
const STATS_DATA_START_MS = new Date("2026-05-28T00:00:00.000Z").getTime()
|
||||
@@ -18,23 +18,25 @@ const DISPLAY_WINDOW_MS = 56 * 86_400_000
|
||||
const INCREMENTAL_LOOKBACK_MS = 2 * 3_600_000
|
||||
|
||||
export type SyncStatsResult = { ok: true; rows: number; startedAt: string; periodStart: string; periodEnd: string }
|
||||
export type SyncStatsError = AthenaQueryError | AthenaQueryTimeoutError | DatabaseError
|
||||
export type SyncStatsError = R2SqlQueryError | DatabaseError
|
||||
|
||||
export const syncStats: (options?: {
|
||||
full?: boolean
|
||||
}) => Effect.Effect<SyncStatsResult, SyncStatsError, Athena | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
|
||||
}) => Effect.Effect<SyncStatsResult, SyncStatsError, R2Sql | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
|
||||
Effect.fn("StatSync.sync")(function* (options?: { full?: boolean }) {
|
||||
const startedAt = yield* DateTime.nowAsDate
|
||||
const periodEnd = new Date(Math.floor((startedAt.getTime() - DATALAKE_INGESTION_LAG_MS) / 60_000) * 60_000)
|
||||
const periodStart = options?.full ? fullPeriodStart(periodEnd) : incrementalPeriodStart(periodEnd)
|
||||
const athena = yield* Athena
|
||||
const r2Sql = yield* R2Sql
|
||||
const modelStats = yield* ModelStatRepo
|
||||
const providerStats = yield* ProviderStatRepo
|
||||
const geoStats = yield* GeoStatRepo
|
||||
|
||||
yield* logRuntimeCheck()
|
||||
|
||||
const rows = yield* athena.query(buildStatsQuery(periodStart, periodEnd))
|
||||
const rows = yield* Effect.forEach(buildStatsQueries(periodStart, periodEnd), r2Sql.query, {
|
||||
concurrency: 4,
|
||||
}).pipe(Effect.map((batches) => batches.flat()))
|
||||
const modelRows = modelRowsFromAggregates(rows.filter((row) => row.dimension === "model").flatMap(toModelAggregate))
|
||||
const providerRows = providerRowsFromAggregates(
|
||||
rows.filter((row) => row.dimension === "provider").flatMap(toProviderAggregate),
|
||||
@@ -77,7 +79,7 @@ export const syncStats: (options?: {
|
||||
}
|
||||
})
|
||||
|
||||
// May 27 was partial, so keep Athena stats anchored at the first complete day.
|
||||
// May 27 was partial, so keep stats anchored at the first complete day.
|
||||
function fullPeriodStart(periodEnd: Date) {
|
||||
return new Date(
|
||||
Math.max(
|
||||
@@ -99,13 +101,12 @@ function incrementalPeriodStart(periodEnd: Date) {
|
||||
|
||||
function logRuntimeCheck() {
|
||||
return Effect.logInfo(
|
||||
`athena stats runtime check ${JSON.stringify({
|
||||
catalog: Resource.InferenceEvent.catalog,
|
||||
database: Resource.InferenceEvent.database,
|
||||
`r2 sql stats runtime check ${JSON.stringify({
|
||||
accountId: Resource.R2Sql.accountId,
|
||||
bucket: Resource.R2Sql.bucket,
|
||||
dataset: Resource.StatsSyncConfig.dataset,
|
||||
table: Resource.InferenceEvent.table,
|
||||
workgroup: Resource.InferenceEvent.workgroup,
|
||||
region: Resource.InferenceEvent.region,
|
||||
namespace: Resource.R2Sql.namespace,
|
||||
table: Resource.R2Sql.table,
|
||||
stage: Resource.App.stage,
|
||||
})}`,
|
||||
)
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import * as NodeRuntime from "@effect/platform-node/NodeRuntime"
|
||||
import { Athena } from "@opencode-ai/stats-core/athena"
|
||||
import { ModelStatRepo } from "@opencode-ai/stats-core/domain/model"
|
||||
import { R2Sql } from "@opencode-ai/stats-core/r2-sql"
|
||||
import { layer as statsLayer } from "@opencode-ai/stats-core/runtime"
|
||||
import { syncStats } from "@opencode-ai/stats-core/stat-sync"
|
||||
import { Cause, Duration, Effect, Layer, Schedule } from "effect"
|
||||
@@ -8,7 +8,7 @@ import { Cause, Duration, Effect, Layer, Schedule } from "effect"
|
||||
const SYNC_INTERVAL = "1 hour"
|
||||
const SYNC_INTERVAL_MS = 3_600_000
|
||||
|
||||
const runtimeLayer = Layer.mergeAll(statsLayer, Athena.layer)
|
||||
const runtimeLayer = Layer.mergeAll(statsLayer, R2Sql.layer)
|
||||
|
||||
const daemon = Effect.gen(function* () {
|
||||
yield* Effect.logInfo("stats sync daemon started")
|
||||
@@ -19,9 +19,19 @@ const daemon = Effect.gen(function* () {
|
||||
let lastFullDay = ""
|
||||
const pass = Effect.gen(function* () {
|
||||
const today = new Date().toISOString().slice(0, 10)
|
||||
const full = lastFullDay !== today
|
||||
yield* syncStats({ full })
|
||||
if (full) lastFullDay = today
|
||||
if (lastFullDay !== today) {
|
||||
const completed = yield* syncStats({ full: true }).pipe(
|
||||
Effect.as(true),
|
||||
Effect.catchCause((cause) =>
|
||||
Effect.logWarning(`full stats sync failed; falling back to incremental sync ${Cause.pretty(cause)}`).pipe(
|
||||
Effect.as(false),
|
||||
),
|
||||
),
|
||||
)
|
||||
lastFullDay = today
|
||||
if (completed) return
|
||||
}
|
||||
yield* syncStats({ full: false })
|
||||
}).pipe(
|
||||
Effect.catchCause((cause) =>
|
||||
Effect.logWarning(`stats sync failed ${JSON.stringify({ cause: Cause.pretty(cause) })}`),
|
||||
@@ -30,9 +40,9 @@ const daemon = Effect.gen(function* () {
|
||||
yield* pass.pipe(Effect.repeat(Schedule.fixed(SYNC_INTERVAL)))
|
||||
}).pipe(Effect.forkScoped)
|
||||
|
||||
// A restarted daemon must not immediately re-run the expensive Athena pass; resume
|
||||
// the hourly cadence from the last completed sync instead. This caps the Athena
|
||||
// spend of a crash loop at one pass per interval.
|
||||
// A restarted daemon must not immediately re-run the R2 SQL pass; resume the
|
||||
// hourly cadence from the last completed sync instead. This caps the query spend
|
||||
// of a crash loop at one pass per interval.
|
||||
const initialDelay = Effect.fnUntraced(function* () {
|
||||
const modelStats = yield* ModelStatRepo
|
||||
const lastSynced = yield* modelStats.lastSyncedAt().pipe(Effect.catchCause(() => Effect.succeed(null)))
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"repository": {
|
||||
|
||||
@@ -25,7 +25,7 @@
|
||||
"border-weak-base": "#DBDBDB",
|
||||
"border-weaker-base": "#E8E8E8",
|
||||
"icon-base": "#8F8F8F",
|
||||
"icon-weak-base": "C7C7C7",
|
||||
"icon-weak-base": "#C7C7C7",
|
||||
"surface-raised-base": "#F3F3F3",
|
||||
"surface-raised-base-hover": "#EDEDED",
|
||||
"surface-base": "#F8F8F8",
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "@opencode-ai/web",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"version": "1.18.15",
|
||||
"version": "1.18.18",
|
||||
"scripts": {
|
||||
"dev": "astro dev",
|
||||
"dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
|
||||
|
||||
@@ -185,7 +185,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -53,69 +53,70 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
|
||||
يمكنك أيضا الوصول إلى نماذجنا عبر نقاط نهاية API التالية.
|
||||
|
||||
| النموذج | معرّف النموذج | نقطة النهاية | حزمة AI SDK |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| النموذج | معرّف النموذج | نقطة النهاية | حزمة AI SDK |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.5، ستستخدم `opencode/gpt-5.5` في إعداداتك.
|
||||
|
||||
@@ -140,11 +141,10 @@ https://opencode.ai/zen/v1/models
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -173,11 +173,14 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -217,11 +220,10 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
- DeepSeek V4 Flash Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- MiMo-V2.5 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Hy3 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Laguna S 2.1 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Ling-3.0-tiny Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- LongCat-2.0 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- North Mini Code Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Nemotron 3 Ultra Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Nemotron 3.5 Lightning Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Big Pickle نموذج خفي ومتاح مجانا على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
|
||||
<a href={email}>تواصل معنا</a> إذا كانت لديك أي أسئلة.
|
||||
@@ -276,11 +278,10 @@ https://opencode.ai/zen/v1/models
|
||||
- Big Pickle: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- DeepSeek V4 Flash Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- MiMo-V2.5 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Hy3 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Laguna S 2.1 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Ling-3.0-tiny Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- LongCat-2.0 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- North Mini Code Free: خلال فترته المجانية، قد يُحتفَظ بالبيانات المُجمَّعة وتُستخدم لتحسين النموذج. لا تُرسل بيانات شخصية أو سرية. راجع [شروط الاستخدام](https://cohere.com/terms-of-use) و[سياسة الخصوصية](https://cohere.com/privacy).
|
||||
- Nemotron 3 Ultra Free (نقاط نهاية NVIDIA المجانية): للاستخدام التجريبي فقط — لا ترسل بيانات شخصية أو سرية. يُسجَّل استخدامك لأغراض أمنية ولتحسين منتجات وخدمات NVIDIA. بيانات الجلسة المُسجَّلة لأغراض التحسين غير مرتبطة بهويتك أو بأي مُعرِّف دائم. لمزيد من المعلومات حول ممارسات معالجة البيانات لدينا، راجع [سياسة الخصوصية](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). بتفاعلك مع نقطة النهاية هذه، فإنك توافق على جمعنا لهذه المعلومات وتسجيلها واستخدامها وعلى [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (نقاط نهاية NVIDIA المجانية): للاستخدام التجريبي فقط — لا ترسل بيانات شخصية أو سرية. يُسجَّل استخدامك لأغراض أمنية ولتحسين منتجات وخدمات NVIDIA. بيانات الجلسة المُسجَّلة لأغراض التحسين غير مرتبطة بهويتك أو بأي مُعرِّف دائم. لمزيد من المعلومات حول ممارسات معالجة البيانات لدينا، راجع [سياسة الخصوصية](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). بتفاعلك مع نقطة النهاية هذه، فإنك توافق على جمعنا لهذه المعلومات وتسجيلها واستخدامها وعلى [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
|
||||
|
||||
@@ -197,7 +197,7 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Paket |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -58,69 +58,70 @@ Naplata se vrši po zahtjevu i možete dodavati kredit na svoj račun.
|
||||
|
||||
Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
[model id](/docs/config/#models) u vašoj OpenCode konfiguraciji koristi format
|
||||
`opencode/<model-id>`. Na primjer, za GPT 5.5 u konfiguraciji biste
|
||||
@@ -147,11 +148,10 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -180,11 +180,14 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -224,11 +227,10 @@ Besplatni modeli:
|
||||
|
||||
- DeepSeek V4 Flash Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- MiMo-V2.5 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Hy3 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Laguna S 2.1 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Ling-3.0-tiny Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- LongCat-2.0 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- North Mini Code Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Nemotron 3 Ultra Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Nemotron 3.5 Lightning Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Big Pickle je stealth model koji je besplatan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
|
||||
<a href={email}>Kontaktirajte nas</a> ako imate bilo kakvih pitanja.
|
||||
@@ -288,11 +290,10 @@ i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
|
||||
- Big Pickle: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- DeepSeek V4 Flash Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- MiMo-V2.5 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Hy3 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Laguna S 2.1 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Ling-3.0-tiny Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- LongCat-2.0 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- North Mini Code Free: Tokom besplatnog perioda, prikupljeni podaci mogu biti zadržani i korišteni za poboljšanje modela. Nemojte slati lične ili povjerljive podatke. Pogledajte naše [Uslove korištenja](https://cohere.com/terms-of-use) i [Politiku privatnosti](https://cohere.com/privacy).
|
||||
- Nemotron 3 Ultra Free (besplatni NVIDIA endpointi): Samo za probnu upotrebu — nemojte slati lične ili povjerljive podatke. Vaše korištenje se bilježi radi sigurnosti i poboljšanja NVIDIA proizvoda i usluga. Zabilježeni podaci sesije koji se koriste u svrhu poboljšanja nisu povezani s vašim identitetom niti bilo kojim trajnim identifikatorom. Za više informacija o našim praksama obrade podataka pogledajte našu [Politiku privatnosti](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interakcijom s ovim endpointom pristajete na naše prikupljanje, bilježenje i korištenje takvih informacija te na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (besplatni NVIDIA endpointi): Samo za probnu upotrebu — nemojte slati lične ili povjerljive podatke. Vaše korištenje se bilježi radi sigurnosti i poboljšanja NVIDIA proizvoda i usluga. Zabilježeni podaci sesije koji se koriste u svrhu poboljšanja nisu povezani s vašim identitetom niti bilo kojim trajnim identifikatorom. Za više informacija o našim praksama obrade podataka pogledajte našu [Politiku privatnosti](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interakcijom s ovim endpointom pristajete na naše prikupljanje, bilježenje i korištenje takvih informacija te na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
|
||||
|
||||
@@ -197,7 +197,7 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -58,69 +58,70 @@ Du bliver opkrævet pr. anmodning, og du kan tilføje kredit til din konto.
|
||||
|
||||
Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK-pakke |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK-pakke |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
[model id](/docs/config/#models) i din OpenCode-konfiguration
|
||||
bruger formatet `opencode/<model-id>`. For eksempel ville du for GPT 5.5
|
||||
@@ -147,11 +148,10 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -180,11 +180,14 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -224,11 +227,10 @@ De gratis modeller:
|
||||
|
||||
- DeepSeek V4 Flash Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- MiMo-V2.5 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Hy3 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Laguna S 2.1 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Ling-3.0-tiny Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- LongCat-2.0 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- North Mini Code Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Nemotron 3 Ultra Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Nemotron 3.5 Lightning Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Big Pickle er en stealth-model, som er gratis på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
|
||||
<a href={email}>Kontakt os</a>, hvis du har spørgsmål.
|
||||
@@ -286,11 +288,10 @@ Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspoliti
|
||||
- Big Pickle: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- DeepSeek V4 Flash Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- MiMo-V2.5 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Hy3 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Laguna S 2.1 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Ling-3.0-tiny Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- LongCat-2.0 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- North Mini Code Free: I gratisperioden kan indsamlede data blive opbevaret og brugt til at forbedre modellen. Indsend ikke personlige eller fortrolige oplysninger. Se vores [Brugsvilkår](https://cohere.com/terms-of-use) og [Privatlivspolitik](https://cohere.com/privacy).
|
||||
- Nemotron 3 Ultra Free (gratis NVIDIA-endpoints): Kun til prøvebrug — indsend ikke personlige eller fortrolige data. Din brug logges af sikkerhedshensyn og for at forbedre NVIDIAs produkter og tjenester. De loggede sessionsdata, der bruges til forbedringsformål, er ikke knyttet til din identitet eller nogen vedvarende identifikator. For mere information om vores databehandlingspraksis, se vores [privatlivspolitik](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved at interagere med dette endpoint giver du samtykke til vores indsamling, registrering og brug af sådanne oplysninger samt [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (gratis NVIDIA-endpoints): Kun til prøvebrug — indsend ikke personlige eller fortrolige data. Din brug logges af sikkerhedshensyn og for at forbedre NVIDIAs produkter og tjenester. De loggede sessionsdata, der bruges til forbedringsformål, er ikke knyttet til din identitet eller nogen vedvarende identifikator. For mere information om vores databehandlingspraksis, se vores [privatlivspolitik](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved at interagere med dette endpoint giver du samtykke til vores indsamling, registrering og brug af sådanne oplysninger samt [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
|
||||
|
||||
@@ -187,7 +187,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
||||
|
||||
| Modell | Modell-ID | Endpunkt | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -49,69 +49,70 @@ Dir wird pro Anfrage berechnet, und du kannst deinem Konto Guthaben hinzufügen.
|
||||
|
||||
Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/<model-id>`. Für GPT 5.5 würdest du zum Beispiel `opencode/gpt-5.5` in deiner Konfiguration verwenden.
|
||||
|
||||
@@ -136,11 +137,10 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -169,11 +169,14 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -213,11 +216,10 @@ Die kostenlosen Modelle:
|
||||
|
||||
- DeepSeek V4 Flash Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- MiMo-V2.5 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Hy3 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Laguna S 2.1 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Ling-3.0-tiny Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- LongCat-2.0 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- North Mini Code Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Nemotron 3 Ultra Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Nemotron 3.5 Lightning Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Big Pickle ist ein Stealth-Modell, das für begrenzte Zeit kostenlos auf OpenCode verfügbar ist. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
|
||||
<a href={email}>Kontaktiere uns</a>, wenn du Fragen hast.
|
||||
@@ -272,11 +274,10 @@ Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zer
|
||||
- Big Pickle: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- DeepSeek V4 Flash Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- MiMo-V2.5 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Hy3 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Laguna S 2.1 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Ling-3.0-tiny Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- LongCat-2.0 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- North Mini Code Free: Während des kostenlosen Zeitraums können erhobene Daten gespeichert und zur Verbesserung des Modells verwendet werden. Übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Weitere Informationen finden Sie in unseren [Nutzungsbedingungen](https://cohere.com/terms-of-use) und unserer [Datenschutzerklärung](https://cohere.com/privacy).
|
||||
- Nemotron 3 Ultra Free (kostenlose NVIDIA-Endpunkte): Nur für Testzwecke — übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Ihre Nutzung wird zu Sicherheitszwecken und zur Verbesserung der Produkte und Dienste von NVIDIA protokolliert. Die zu Verbesserungszwecken protokollierten Sitzungsdaten sind nicht mit Ihrer Identität oder einem dauerhaften Identifikator verknüpft. Weitere Informationen zu unseren Datenverarbeitungspraktiken finden Sie in unserer [Datenschutzrichtlinie](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Durch die Interaktion mit diesem Endpunkt stimmen Sie unserer Erhebung, Aufzeichnung und Nutzung solcher Informationen sowie den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) zu.
|
||||
- Nemotron 3.5 Lightning Free (kostenlose NVIDIA-Endpunkte): Nur für Testzwecke — übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Ihre Nutzung wird zu Sicherheitszwecken und zur Verbesserung der Produkte und Dienste von NVIDIA protokolliert. Die zu Verbesserungszwecken protokollierten Sitzungsdaten sind nicht mit Ihrer Identität oder einem dauerhaften Identifikator verknüpft. Weitere Informationen zu unseren Datenverarbeitungspraktiken finden Sie in unserer [Datenschutzrichtlinie](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Durch die Interaktion mit diesem Endpunkt stimmen Sie unserer Erhebung, Aufzeichnung und Nutzung solcher Informationen sowie den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) zu.
|
||||
- OpenAI APIs: Anfragen werden in Übereinstimmung mit [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 30 Tage lang gespeichert.
|
||||
- Anthropic APIs: Anfragen werden in Übereinstimmung mit [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 30 Tage lang gespeichert.
|
||||
|
||||
|
||||
@@ -17,7 +17,7 @@ You can also check out [awesome-opencode](https://github.com/awesome-opencode/aw
|
||||
|
||||
| Name | Description |
|
||||
| -------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
|
||||
| [opencode-daytona](https://github.com/daytonaio/daytona/tree/main/libs/opencode-plugin) | Automatically run OpenCode sessions in isolated Daytona sandboxes with git sync and live previews |
|
||||
| [opencode-daytona](https://github.com/daytona/integrations/tree/main/packages/opencode-plugin) | Automatically run OpenCode sessions in isolated Daytona sandboxes with git sync and live previews |
|
||||
| [opencode-helicone-session](https://github.com/H2Shami/opencode-helicone-session) | Automatically inject Helicone session headers for request grouping |
|
||||
| [opencode-type-inject](https://github.com/nick-vi/opencode-type-inject) | Auto-inject TypeScript/Svelte types into file reads with lookup tools |
|
||||
| [opencode-openai-codex-auth](https://github.com/numman-ali/opencode-openai-codex-auth) | Use your ChatGPT Plus/Pro subscription instead of API credits |
|
||||
|
||||
@@ -197,7 +197,7 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
|
||||
|
||||
| Modelo | ID del modelo | Endpoint | Paquete de AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -58,69 +58,70 @@ Se te cobra por solicitud y puedes agregar créditos a tu cuenta.
|
||||
|
||||
También puedes acceder a nuestros modelos a través de los siguientes endpoints de API.
|
||||
|
||||
| Modelo | Model ID | Endpoint | AI SDK Package |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Modelo | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
El [identificador del modelo](/docs/config/#models) en tu configuración de OpenCode
|
||||
usa el formato `opencode/<model-id>`. Por ejemplo, para GPT 5.5, usarías
|
||||
@@ -147,11 +148,10 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -180,11 +180,14 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -224,11 +227,10 @@ Los modelos gratuitos:
|
||||
|
||||
- DeepSeek V4 Flash Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- MiMo-V2.5 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Hy3 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Laguna S 2.1 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Ling-3.0-tiny Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- LongCat-2.0 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- North Mini Code Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Nemotron 3 Ultra Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Nemotron 3.5 Lightning Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Big Pickle es un modelo stealth que es gratuito en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
|
||||
<a href={email}>Contáctanos</a> si tienes alguna pregunta.
|
||||
@@ -286,11 +288,10 @@ Todos nuestros modelos están alojados en US. Nuestros proveedores siguen una po
|
||||
- Big Pickle: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- DeepSeek V4 Flash Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- MiMo-V2.5 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Hy3 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Laguna S 2.1 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Ling-3.0-tiny Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- LongCat-2.0 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- North Mini Code Free: Durante el período gratuito, los datos recopilados podrán conservarse y utilizarse para mejorar el modelo. No envíes datos personales ni confidenciales. Consulta nuestros [Términos de uso](https://cohere.com/terms-of-use) y nuestra [Política de privacidad](https://cohere.com/privacy).
|
||||
- Nemotron 3 Ultra Free (endpoints gratuitos de NVIDIA): Solo para uso de prueba — no envíes datos personales ni confidenciales. Tu uso se registra con fines de seguridad y para mejorar los productos y servicios de NVIDIA. Los datos de sesión registrados con fines de mejora no están vinculados a tu identidad ni a ningún identificador persistente. Para obtener más información sobre nuestras prácticas de procesamiento de datos, consulta nuestra [Política de privacidad](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Al interactuar con este endpoint, aceptas que recopilemos, registremos y usemos dicha información, así como los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (endpoints gratuitos de NVIDIA): Solo para uso de prueba — no envíes datos personales ni confidenciales. Tu uso se registra con fines de seguridad y para mejorar los productos y servicios de NVIDIA. Los datos de sesión registrados con fines de mejora no están vinculados a tu identidad ni a ningún identificador persistente. Para obtener más información sobre nuestras prácticas de procesamiento de datos, consulta nuestra [Política de privacidad](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Al interactuar con este endpoint, aceptas que recopilemos, registremos y usemos dicha información, así como los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: Las solicitudes se conservan durante 30 días de acuerdo con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: Las solicitudes se conservan durante 30 días de acuerdo con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
|
||||
|
||||
@@ -185,7 +185,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
|
||||
|
||||
| Modèle | ID de modèle | Point de terminaison | Package AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -49,69 +49,70 @@ La facturation se fait à la requête et vous pouvez ajouter des crédits à vot
|
||||
|
||||
Vous pouvez également accéder à nos modèles via les points de terminaison API suivants.
|
||||
|
||||
| Modèle | ID du modèle | Point de terminaison | Package AI SDK |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Modèle | ID du modèle | Point de terminaison | Package AI SDK |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/<model-id>`. Par exemple, pour GPT 5.5, vous utiliseriez `opencode/gpt-5.5` dans votre configuration.
|
||||
|
||||
@@ -136,11 +137,10 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -169,11 +169,14 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -213,11 +216,10 @@ Les modèles gratuits :
|
||||
|
||||
- DeepSeek V4 Flash Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- MiMo-V2.5 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Hy3 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Laguna S 2.1 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Ling-3.0-tiny Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- LongCat-2.0 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- North Mini Code Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Nemotron 3 Ultra Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Nemotron 3.5 Lightning Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Big Pickle est un modèle stealth gratuit sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
|
||||
<a href={email}>Contactez-nous</a> si vous avez des questions.
|
||||
@@ -272,11 +274,10 @@ Tous nos modèles sont hébergés aux US. Nos fournisseurs suivent une politique
|
||||
- Big Pickle : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- DeepSeek V4 Flash Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- MiMo-V2.5 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Hy3 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Laguna S 2.1 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Ling-3.0-tiny Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- LongCat-2.0 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- North Mini Code Free : Pendant la période de gratuité, les données collectées peuvent être conservées et utilisées pour améliorer le modèle. Ne transmettez aucune donnée personnelle ou confidentielle. Consultez nos [Conditions d’utilisation](https://cohere.com/terms-of-use) et notre [Politique de confidentialité](https://cohere.com/privacy).
|
||||
- Nemotron 3 Ultra Free (endpoints NVIDIA gratuits) : Réservé à un usage d'essai — n'envoyez pas de données personnelles ou confidentielles. Votre utilisation est journalisée à des fins de sécurité et pour améliorer les produits et services de NVIDIA. Les données de session journalisées à des fins d'amélioration ne sont pas liées à votre identité ni à un quelconque identifiant persistant. Pour plus d'informations sur nos pratiques de traitement des données, consultez notre [Politique de confidentialité](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). En interagissant avec cet endpoint, vous consentez à notre collecte, à notre enregistrement et à notre utilisation de ces informations ainsi qu'aux [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (endpoints NVIDIA gratuits) : Réservé à un usage d'essai — n'envoyez pas de données personnelles ou confidentielles. Votre utilisation est journalisée à des fins de sécurité et pour améliorer les produits et services de NVIDIA. Les données de session journalisées à des fins d'amélioration ne sont pas liées à votre identité ni à un quelconque identifiant persistant. Pour plus d'informations sur nos pratiques de traitement des données, consultez notre [Politique de confidentialité](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). En interagissant avec cet endpoint, vous consentez à notre collecte, à notre enregistrement et à notre utilisation de ces informations ainsi qu'aux [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs : Les requêtes sont conservées pendant 30 jours conformément à [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs : Les requêtes sont conservées pendant 30 jours conformément à [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
|
||||
|
||||
@@ -97,7 +97,7 @@ Or you can set it up manually.
|
||||
issues: write
|
||||
```
|
||||
|
||||
You can also use a [personal access tokens](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens)(PAT) if preferred.
|
||||
You can also use a [personal access token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens)(PAT) if preferred.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -197,7 +197,7 @@ You can also access Go models through the following API endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -252,13 +252,13 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Qwen3.6 Plus | Not used | 0 days |
|
||||
| MiniMax M3 | Not used | 0 days |
|
||||
| MiniMax M2.7 | Not used | 0 days |
|
||||
| DeepSeek V4 Pro | Not used | 0 days |
|
||||
| DeepSeek V4 Flash | Not used | 0 days |
|
||||
| DeepSeek V4 Pro | Not used | 0 days\* |
|
||||
| DeepSeek V4 Flash | Not used | 0 days\* |
|
||||
| Hy3 | Not used | 0 days |
|
||||
|
||||
- **Grok 4.5:** ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API. [Learn more](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
|
||||
- **GPT 5.6 Luna:** Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days. [Learn more](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
|
||||
- **DeepSeek V4 Flash:** ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.
|
||||
- **DeepSeek:** ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -195,7 +195,7 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
|
||||
|
||||
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -58,69 +58,70 @@ Ti viene addebitato ogni richiesta e puoi aggiungere credito al tuo account.
|
||||
|
||||
Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
|
||||
| Modello | Model ID | Endpoint | Pacchetto AI SDK |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Modello | Model ID | Endpoint | Pacchetto AI SDK |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
Il [model id](/docs/config/#models) nella config di OpenCode
|
||||
usa il formato `opencode/<model-id>`. Per esempio, per GPT 5.5, useresti
|
||||
@@ -147,11 +148,10 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -180,11 +180,14 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -224,11 +227,10 @@ I modelli gratuiti:
|
||||
|
||||
- DeepSeek V4 Flash Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- MiMo-V2.5 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Hy3 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Laguna S 2.1 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Ling-3.0-tiny Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- LongCat-2.0 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- North Mini Code Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Nemotron 3 Ultra Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Nemotron 3.5 Lightning Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Big Pickle è un modello stealth che è gratuito su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
|
||||
<a href={email}>Contattaci</a> se hai domande.
|
||||
@@ -286,11 +288,10 @@ Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una pol
|
||||
- Big Pickle: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- DeepSeek V4 Flash Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- MiMo-V2.5 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Hy3 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Laguna S 2.1 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Ling-3.0-tiny Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- LongCat-2.0 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- North Mini Code Free: Durante il periodo gratuito, i dati raccolti possono essere conservati e utilizzati per migliorare il modello. Non inviare dati personali o riservati. Consulta i nostri [Termini di utilizzo](https://cohere.com/terms-of-use) e la nostra [Informativa sulla privacy](https://cohere.com/privacy).
|
||||
- Nemotron 3 Ultra Free (endpoint NVIDIA gratuiti): solo per uso di prova — non inviare dati personali o riservati. Il tuo utilizzo viene registrato per finalità di sicurezza e per migliorare i prodotti e i servizi di NVIDIA. I dati di sessione registrati a fini di miglioramento non sono collegati alla tua identità né ad alcun identificatore persistente. Per maggiori informazioni sulle nostre pratiche di trattamento dei dati, consulta la nostra [Informativa sulla privacy](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interagendo con questo endpoint, acconsenti alla nostra raccolta, registrazione e utilizzo di tali informazioni e ai [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- Nemotron 3.5 Lightning Free (endpoint NVIDIA gratuiti): solo per uso di prova — non inviare dati personali o riservati. Il tuo utilizzo viene registrato per finalità di sicurezza e per migliorare i prodotti e i servizi di NVIDIA. I dati di sessione registrati a fini di miglioramento non sono collegati alla tua identità né ad alcun identificatore persistente. Per maggiori informazioni sulle nostre pratiche di trattamento dei dati, consulta la nostra [Informativa sulla privacy](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interagendo con questo endpoint, acconsenti alla nostra raccolta, registrazione e utilizzo di tali informazioni e ai [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
- OpenAI APIs: le richieste vengono conservate per 30 giorni in conformità con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
|
||||
- Anthropic APIs: le richieste vengono conservate per 30 giorni in conformità con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
|
||||
|
||||
@@ -185,7 +185,7 @@ 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
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
@@ -49,69 +49,70 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
|
||||
以下の API エンドポイントを通じて、私たちのモデルにアクセスすることもできます。
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ---------------------- | ---------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling-3.0-tiny Free | ling-3.0-tiny-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| LongCat-2.0 Free | longcat-2.0-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| North Mini Code Free | north-mini-code-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| --------------------------- | --------------------------- | --------------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.6 Sol | gpt-5.6-sol | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Terra | gpt-5.6-terra | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 Nano | gpt-5.4-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Fable 5 | claude-fable-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 5 | claude-opus-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.8 | claude-opus-4-8 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.7 | claude-opus-4-7 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 5 | claude-sonnet-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| Grok 4.6 | grok-4.6 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.2 | glm-5.2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Hy3 Free | hy3-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Laguna S 2.1 Free | laguna-s-2.1-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3.5 Lightning Free | nemotron-3.5-lightning-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/<model-id>` 形式です。たとえば、GPT 5.5 では設定に `opencode/gpt-5.5` を使用します。
|
||||
|
||||
@@ -136,11 +137,10 @@ https://opencode.ai/zen/v1/models
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| DeepSeek V4 Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Hy3 Free | Free | Free | Free | - |
|
||||
| Laguna S 2.1 Free | Free | Free | Free | - |
|
||||
| Ling-3.0-tiny Free | Free | Free | Free | - |
|
||||
| LongCat-2.0 Free | Free | Free | Free | - |
|
||||
| North Mini Code Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
| Nemotron 3.5 Lightning Free | Free | Free | Free | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
@@ -169,11 +169,14 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| Grok 4.6 (≤ 200K tokens) | $2.00 | $6.00 | $0.50 | - |
|
||||
| Grok 4.6 (> 200K tokens) | $4.00 | $12.00 | $1.00 | - |
|
||||
| Grok 4.5 (≤ 200K tokens) | $2.00 | $6.00 | $0.30 | - |
|
||||
| Grok 4.5 (> 200K tokens) | $4.00 | $12.00 | $0.60 | - |
|
||||
| Grok Build 0.1 | $1.00 | $2.00 | $0.20 | - |
|
||||
@@ -213,11 +216,10 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
- DeepSeek V4 Flash Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- MiMo-V2.5 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Hy3 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Laguna S 2.1 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Ling-3.0-tiny Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- LongCat-2.0 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- North Mini Code Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Nemotron 3 Ultra Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Nemotron 3.5 Lightning Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Big Pickle はステルスモデルで、期間限定で OpenCode で無料提供されています。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
|
||||
ご不明な点があれば、<a href={email}>お問い合わせください</a>。
|
||||
@@ -272,11 +274,10 @@ https://opencode.ai/zen/v1/models
|
||||
- Big Pickle: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- DeepSeek V4 Flash Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- MiMo-V2.5 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Hy3 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Laguna S 2.1 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Ling-3.0-tiny Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- LongCat-2.0 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- North Mini Code Free: 無料提供期間中、収集されたデータは保持され、モデルの改善に使用される場合があります。個人情報や機密情報を送信しないでください。詳しくは、[利用規約](https://cohere.com/terms-of-use)および[プライバシーポリシー](https://cohere.com/privacy)をご覧ください。
|
||||
- Nemotron 3 Ultra Free(NVIDIA の無料エンドポイント): 試用専用です — 個人情報や機密データは送信しないでください。お客様の利用は、セキュリティ目的および NVIDIA の製品とサービスの改善のために記録されます。改善目的で記録されたセッションデータは、お客様の身元や永続的な識別子とは関連付けられません。当社のデータ処理慣行の詳細については、[プライバシーポリシー](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)をご覧ください。このエンドポイントを利用することで、お客様はそのような情報の当社による収集、記録、利用、および [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に同意したものとみなされます。
|
||||
- Nemotron 3.5 Lightning Free(NVIDIA の無料エンドポイント): 試用専用です — 個人情報や機密データは送信しないでください。お客様の利用は、セキュリティ目的および NVIDIA の製品とサービスの改善のために記録されます。改善目的で記録されたセッションデータは、お客様の身元や永続的な識別子とは関連付けられません。当社のデータ処理慣行の詳細については、[プライバシーポリシー](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)をご覧ください。このエンドポイントを利用することで、お客様はそのような情報の当社による収集、記録、利用、および [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に同意したものとみなされます。
|
||||
- OpenAI APIs: リクエストは [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) に従って 30 日間保持されます。
|
||||
- Anthropic APIs: リクエストは [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) に従って 30 日間保持されます。
|
||||
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user