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...

50 Commits

Author SHA1 Message Date
Kit Langton 533596cf85 fix(core): preserve nested webfetch inline semantics 2026-08-13 14:25:23 -04:00
Kit Langton 46de28d511 chore(core): keep webfetch benchmarks local 2026-08-13 13:43:07 -04:00
Kit Langton 969751c6cc Merge remote-tracking branch 'origin/dev' into webfetch-markdown
# ------------------------ >8 ------------------------
# Do not modify or remove the line above.
# Everything below it will be ignored.
#
# Conflicts:
#	bun.lock
#	packages/core/package.json
#	packages/core/src/tool/webfetch.ts
2026-08-13 13:41:13 -04:00
Kit Langton 9c59381cde fix(core): preserve webfetch markdown semantics 2026-08-13 13:35:04 -04:00
Jack d0c2b41adf docs(go): use responses API for Grok 4.5 (#42373) 2026-08-14 01:28:55 +08:00
Frank c7af47f9ed update grok endpoint 2026-08-13 13:27:41 -04:00
Kit Langton 6c035e1fd7 fix(core): preserve unicode in grep previews (#42356) 2026-08-13 16:51:43 +00:00
Kit Langton 90ac5ee6cf fix(core): harden webfetch markdown boundaries 2026-08-13 12:41:59 -04:00
opencode-agent[bot] ab7cbc808f chore: generate 2026-08-13 16:30:12 +00:00
Aditya Sethi 62387f39d4 fix(skills): Update global config path in documentation (#42337) 2026-08-13 18:27:29 +02:00
Jack 864889ab9f docs: remove Ling 3.0 Tiny free model (#42314) 2026-08-13 20:48:54 +08:00
Kit Langton 5cace7a01d feat(core): replace webfetch markdown renderer 2026-08-12 22:52:13 -04:00
opencode cc4b456129 sync release versions for v1.18.18 2026-08-13 01:15:01 +00:00
opencode-agent[bot] 14b37df391 chore: update nix node_modules hashes 2026-08-12 22:36:40 +00:00
opencode-agent[bot] 91df883231 fix(opencode): select Kimi prompt by provider (#42161)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-08-12 17:29:03 -05:00
opencode-agent[bot] 6fea419feb fix(groq): pass through reasoning effort (#42166)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-08-12 17:20:23 -05:00
opencode-agent[bot] beeabe2e4b fix(mistral): pass through reasoning effort (#42164)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-08-12 17:20:07 -05:00
opencode-agent[bot] 502310f4df fix(xai): pass through reasoning effort (#42160)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-08-12 17:19:17 -05:00
opencode 37fe5c83dc sync release versions for v1.18.17 2026-08-12 20:25:04 +00:00
Aiden Cline dab2637217 fix(compaction): adjust instructions and structure to be more clear to smaller models like dsv4 flash (#42045)
Co-authored-by: akenra <37288280+akenra@users.noreply.github.com>
2026-08-12 14:36:51 -05:00
opencode-agent[bot] 39fb919a05 chore: add neriousy to team members (#42107)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-08-12 13:30:38 -05:00
opencode-agent[bot] 999be62662 chore: generate 2026-08-12 16:56:04 +00:00
opencode-agent[bot] 521906f5fa docs(go): clarify DeepSeek ZDR coverage (#42085)
Co-authored-by: Dax Raad <mail@thdxr.com>
2026-08-12 12:53:58 -04:00
Frank 069165eb5b Merge branch 'dev' of github.com:anomalyco/opencode into dev 2026-08-12 12:48:10 -04:00
Frank df09c3ec61 update ds v4 pro 2026-08-12 12:48:08 -04:00
opencode-agent[bot] 6d3ae4d63d chore: generate 2026-08-12 16:47:08 +00:00
Adam 284187ac55 fix(ci): authenticate pulumi downloads 2026-08-12 11:45:00 -05:00
Adam 7e0353cca9 fix(stats): correct r2 daily totals 2026-08-12 11:36:23 -05:00
SKY ZHAO 959c8bd498 docs: fix provider display name and PAT typos (#42034)
Co-authored-by: skyzhao1223 <skyzhao1223@users.noreply.github.com>
2026-08-12 10:32:23 -05:00
SKY ZHAO ca3df21b7f docs: fix broken DigitalOcean and Daytona links (#42048)
Co-authored-by: skyzhao1223 <skyzhao1223@users.noreply.github.com>
2026-08-12 10:31:47 -05:00
Matthew Feroz 8571a922db fix(provider): add Merge Gateway reasoning variants (#41867) 2026-08-12 10:31:19 -05:00
Frank d92d1e654b docs(zen): add Grok 4.6 2026-08-12 10:53:38 -04:00
Adam 46a14e685a feat(stats): query r2 data catalog 2026-08-12 09:49:10 -05:00
Jack 1f94d8a3c8 docs(zen): remove expired free models (#41943) 2026-08-12 12:03:45 +08:00
Aiden Cline c78986831c fix(opencode): cap session retries with jitter (#41939) 2026-08-11 22:50:52 -05:00
vimtor d470434746 refactor(console): simplify go usage response 2026-08-11 23:18:57 +02:00
Steven Ao 561afb401a fix(opencode): detect Copilot PDF input support (#41522) 2026-08-11 16:04:36 -05:00
Arif Rahman (Bolt) 2b8a5969e9 feat(console): add go usage endpoint (#16513)
Co-authored-by: vimtor <vn4varro@gmail.com>
2026-08-11 22:25:23 +02:00
Jack 36b205370d docs(zen): add Hy3 Free (#41814) 2026-08-12 02:42:06 +08:00
opencode-agent[bot] 6afef2f881 fix(console): update blocked account message (#41819)
Co-authored-by: Dax Raad <d@ironbay.co>
Co-authored-by: Dax <mail@thdxr.com>
2026-08-11 14:41:37 -04:00
opencode-agent[bot] 0d927ba03f chore: generate 2026-08-11 14:17:42 +00:00
Jack 9fdd4824d3 docs(zen): add Nemotron 3.5 Lightning (#41750) 2026-08-11 22:15:53 +08:00
opencode-agent[bot] d041eee55c chore: use DeepSeek for beta conflicts (#41669)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
2026-08-11 04:58:15 +00:00
Luke Parker d62e50075a chore: build beta from v2 (#41627) 2026-08-11 14:33:42 +10:00
opencode-agent[bot] 5d953482ab fix(provider): scope DeepSeek V4 Flash sampling defaults (#41620)
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
Co-authored-by: 侯秀凯 <9627034+hoooou@users.noreply.github.com>
2026-08-10 23:01:56 -05:00
OpeOginni 3a90639cb5 fix(ui): correct OC-2 weak icon color (#41504) 2026-08-10 17:08:45 -05:00
Matthias Reso b9f3b382fc fix(session): route all Muse family models to the Meta system prompt (#41581) 2026-08-10 13:28:04 -05:00
opencode-agent[bot] 550d1ffd24 fix(i18n): use widely recognized developer terminology (#41532)
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
2026-08-10 22:00:00 +10:00
Brendan Allan 941e71dbbb fix(app): use current default model (#38603) 2026-08-10 15:14:17 +08:00
opencode d90532a595 sync release versions for v1.18.16 2026-08-10 06:07:05 +00:00
125 changed files with 3716 additions and 1656 deletions
+1
View File
@@ -10,6 +10,7 @@ kitlangton
kommander
ludvigrask
MrMushrooooom
neriousy
nexxeln
R44VC0RP
rekram1-node
+1
View File
@@ -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 }}
+1 -1
View File
@@ -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 -30
View File
@@ -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",
},
@@ -351,7 +351,6 @@
"minimatch": "10.2.5",
"npm-package-arg": "13.0.2",
"semver": "^7.6.3",
"turndown": "7.2.0",
"venice-ai-sdk-provider": "2.1.1",
"which": "6.0.1",
"xdg-basedir": "5.1.0",
@@ -374,14 +373,13 @@
"@types/npm-package-arg": "6.1.4",
"@types/npmcli__arborist": "6.3.3",
"@types/semver": "catalog:",
"@types/turndown": "5.0.5",
"@types/which": "3.0.4",
"drizzle-kit": "catalog:",
},
},
"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 +433,7 @@
},
"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 +447,7 @@
},
"packages/effect-sqlite-node": {
"name": "@opencode-ai/effect-sqlite-node",
"version": "1.18.15",
"version": "1.18.18",
"dependencies": {
"effect": "catalog:",
},
@@ -461,7 +459,7 @@
},
"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 +491,7 @@
},
"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 +507,7 @@
},
"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 +538,7 @@
},
"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 +557,7 @@
},
"packages/opencode": {
"name": "opencode",
"version": "1.18.15",
"version": "1.18.18",
"bin": {
"opencode": "./bin/opencode",
},
@@ -690,7 +688,7 @@
},
"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 +764,7 @@
},
"packages/sdk/js": {
"name": "@opencode-ai/sdk",
"version": "1.18.15",
"version": "1.18.18",
"dependencies": {
"cross-spawn": "catalog:",
},
@@ -781,7 +779,7 @@
},
"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 +794,7 @@
},
"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 +834,7 @@
},
"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 +847,7 @@
},
"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 +881,7 @@
},
"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 +900,7 @@
},
"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 +942,7 @@
},
"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 +969,7 @@
},
"packages/ui": {
"name": "@opencode-ai/ui",
"version": "1.18.15",
"version": "1.18.18",
"dependencies": {
"@kobalte/core": "catalog:",
"@pierre/diffs": "catalog:",
@@ -1022,7 +1020,7 @@
},
"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 +1073,7 @@
"@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
View File
@@ -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
View File
@@ -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
View File
@@ -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 -1
View File
@@ -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 =
+3 -4
View File
@@ -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 }
}
+1
View File
@@ -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,
+7 -7
View File
@@ -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 -1
View File
@@ -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 -1
View File
@@ -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 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-app",
"version": "1.18.15",
"version": "1.18.18",
"type": "module",
"license": "MIT",
"scripts": {
+2 -1
View File
@@ -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 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/console-core",
"version": "1.18.15",
"version": "1.18.18",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-function",
"version": "1.18.15",
"version": "1.18.18",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -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 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-support",
"version": "1.18.15",
"version": "1.18.18",
"type": "module",
"license": "MIT",
"scripts": {
+1 -3
View File
@@ -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",
@@ -47,7 +47,6 @@
"@types/npm-package-arg": "6.1.4",
"@types/npmcli__arborist": "6.3.3",
"@types/semver": "catalog:",
"@types/turndown": "5.0.5",
"@types/which": "3.0.4",
"@parcel/watcher-darwin-arm64": "2.5.1",
"@parcel/watcher-darwin-x64": "2.5.1",
@@ -120,7 +119,6 @@
"minimatch": "10.2.5",
"npm-package-arg": "13.0.2",
"semver": "^7.6.3",
"turndown": "7.2.0",
"venice-ai-sdk-provider": "2.1.1",
"which": "6.0.1",
"xdg-basedir": "5.1.0",
+2 -6
View File
@@ -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` |
+4 -1
View File
@@ -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,
+25 -19
View File
@@ -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)
+662
View File
@@ -0,0 +1,662 @@
import { Parser } from "htmlparser2"
const omitted = new Set(["script", "style", "noscript", "iframe", "object", "embed", "meta", "link", "template"])
const blocks = new Set([
"address",
"article",
"aside",
"details",
"dialog",
"div",
"dl",
"fieldset",
"figcaption",
"figure",
"footer",
"form",
"header",
"main",
"nav",
"p",
"section",
"summary",
])
type Frame = {
suppressed: boolean
link?: { href: string; title?: string }
suspendedLink?: Frame["link"]
marker?: { index: number; block: number; leadingSpace?: boolean; previous?: Frame["marker"] }
code?: { inline: boolean; text: string; language?: string }
linkCode?: NonNullable<Frame["code"]>
resumedCode?: NonNullable<Frame["code"]>
list?: { ordered: boolean; next: number; previous?: Frame["list"] }
item?: { indent: string; previous?: Frame["item"] }
table?: {
start: number
rows: string[][]
row?: string[]
caption?: string
fallback: boolean
previous?: Frame["table"]
}
cell?: { start: number }
caption?: { start: number }
details?: { open: boolean; summary: boolean; previous?: Frame["details"] }
}
type Chunk = string | { raw: string }
export const MAX_MARKDOWN_BYTES = 5 * 1024 * 1024
const CONTENT_BYTES = MAX_MARKDOWN_BYTES - 64 * 1024
export function convertHTMLToMarkdown(html: string) {
const output: Chunk[] = []
const stack: Frame[] = []
const encoder = new TextEncoder()
let pendingSpace = false
let pendingIndent = ""
let last = ""
let quoteDepth = 0
let needsQuotePrefix = false
let blockCount = 0
let depth = 0
let stopped = false
let outputBytes = 0
let activeCode: NonNullable<Frame["code"]> | undefined
let activeLink: Frame["link"] | undefined
let linkOpen = false
let activeMarker: Frame["marker"] | undefined
let activeList: Frame["list"] | undefined
let activeItem: Frame["item"] | undefined
let activeTable: NonNullable<Frame["table"]> | undefined
let activeCell: Frame["cell"] | undefined
let tableDepth = 0
let fallbackSuppressedDepth = 0
let fallbackOmittedDepth = 0
let activeDetails: Frame["details"] | undefined
const sliceBytes = (value: string, bytes: number) => {
if (encoder.encode(value).byteLength <= bytes) return value
const characters = Array.from(value)
let low = 0
let high = characters.length
while (low < high) {
const middle = Math.ceil((low + high) / 2)
if (encoder.encode(characters.slice(0, middle).join("")).byteLength <= bytes) low = middle
else high = middle - 1
}
return characters.slice(0, low).join("")
}
const append = (value: string, content = false) => {
const limit = content ? CONTENT_BYTES : MAX_MARKDOWN_BYTES
if (!value || outputBytes >= limit) return
const bytes = encoder.encode(value)
const remaining = limit - outputBytes
const next = bytes.byteLength <= remaining ? value : sliceBytes(value, remaining)
output.push(next)
outputBytes += encoder.encode(next).byteLength
last = next.at(-1) ?? last
}
const appendRaw = (value: string) => {
const before = output.length
append(value)
if (output.length > before) output[output.length - 1] = { raw: output[output.length - 1] as string }
}
const take = (start: number) => {
const chunks = output.splice(start)
const value = chunks.map((chunk) => (typeof chunk === "string" ? chunk : chunk.raw)).join("")
outputBytes -= encoder.encode(value).byteLength
return value
}
const prefixQuote = () => {
if (!needsQuotePrefix || quoteDepth === 0 || activeCell) return
append(`${"> ".repeat(Math.min(8, quoteDepth))}`)
needsQuotePrefix = false
}
const flushSpace = () => {
if (!pendingSpace) return
const marker = activeMarker
if (marker && output.length === marker.index + 1 && last !== " " && last !== "\n") {
const value = output[marker.index]
if (typeof value === "string") output[marker.index] = ` ${value}`
outputBytes++
marker.leadingSpace = true
pendingSpace = false
return
}
if (last && last !== "\n" && last !== " ") append(" ")
pendingSpace = false
}
const inline = (value: string, open = false) => {
if (open) flushSpace()
prefixQuote()
if (pendingIndent) {
append(pendingIndent)
pendingIndent = ""
}
if (activeLink && !linkOpen) {
append("[")
linkOpen = true
}
append(value)
}
const block = () => {
if (activeLink && linkOpen) {
append(`](${destination(activeLink.href)}${title(activeLink.title)})`)
linkOpen = false
}
pendingSpace = false
append("\n\n")
blockCount++
needsQuotePrefix = quoteDepth > 0
pendingIndent = activeItem?.indent ?? ""
}
const suspendLink = (frame: Frame) => {
if (!activeLink) return
frame.suspendedLink = activeLink
block()
activeLink = undefined
linkOpen = false
}
const text = (value: string) => {
if (activeCode) {
activeCode.text += value
return
}
for (const part of value.split(/([\t\n\f\r ]+)/)) {
if (!part) continue
if (/^[\t\n\f\r ]+$/.test(part)) {
pendingSpace = true
continue
}
flushSpace()
prefixQuote()
if (pendingIndent) {
append(pendingIndent)
pendingIndent = ""
}
if (activeLink && !linkOpen) {
append("[")
linkOpen = true
}
const escaped = part
.replace(/([\\`*_[\]<>|])/g, "\\$1")
.replace(/~/g, "\\~")
.replace(/^([#+-])/, "\\$1")
.replace(/^(\d+)\./, "$1\\.")
append(escaped, true)
}
}
const destination = (value: string) => value.replace(/([\\()])/g, "\\$1").replace(/[\t\n\r ]+/g, "%20")
const title = (value: string | undefined) =>
value
? ` "${value
.replace(/[\t\n\r ]+/g, " ")
.trim()
.replace(/([\\"])/g, "\\$1")}"`
: ""
const finishCode = (code: NonNullable<Frame["code"]>) => {
if (code.inline && !code.text) return
let backticks = 0
let tildes = 0
let currentBackticks = 0
let currentTildes = 0
for (const character of code.text) {
currentBackticks = character === "`" ? currentBackticks + 1 : 0
currentTildes = character === "~" ? currentTildes + 1 : 0
backticks = Math.max(backticks, currentBackticks)
tildes = Math.max(tildes, currentTildes)
}
if (code.inline) {
const fence = "`".repeat(Math.max(1, backticks + 1))
const padding = /^ | $/.test(code.text) && !/^ +$/.test(code.text) ? " " : ""
flushSpace()
prefixQuote()
const wrapper = encoder.encode(`${fence}${padding}${padding}${fence}`).byteLength
appendRaw(
`${fence}${padding}${sliceBytes(code.text, Math.max(0, CONTENT_BYTES - outputBytes - wrapper))}${padding}${fence}`,
)
return
}
if (activeCell) {
text(code.text)
return
}
const marker = backticks <= tildes ? "`" : "~"
const length = Math.max(3, (marker === "`" ? backticks : tildes) + 1)
const fence = marker.repeat(length)
block()
const prefix = `${fence}${code.language ?? ""}\n`
const quote = quoteDepth > 0 ? `${"> ".repeat(Math.min(8, quoteDepth))}` : ""
const closing = `${code.text.endsWith("\n") ? "" : "\n"}${fence}`
let payload = code.text
for (;;) {
const candidate = `${prefix}${payload}${payload.endsWith("\n") ? "" : "\n"}${fence}`
const value = quote ? candidate.replace(/^/gm, quote) : candidate
const valueBytes = encoder.encode(value).byteLength
if (outputBytes + valueBytes <= CONTENT_BYTES) {
appendRaw(value)
block()
return
}
const excess = valueBytes - Math.max(0, CONTENT_BYTES - outputBytes)
payload = sliceBytes(payload, Math.max(0, encoder.encode(payload).byteLength - Math.ceil(excess)))
}
}
const parser = new Parser({
onopentag(name, attributes) {
depth++
if (depth > 10_000) {
if (stack.at(-1)?.suppressed) {
const visibleParent = stack.findLastIndex((frame) => !frame.suppressed)
fallbackSuppressedDepth = visibleParent + 2
}
activeCode = undefined
stopped = true
}
if (stopped) {
if (omitted.has(name)) fallbackOmittedDepth++
else pendingSpace = true
return
}
const suppressed = (stack.at(-1)?.suppressed ?? false) || omitted.has(name)
const frame: Frame = { suppressed }
const hidden = "hidden" in attributes || attributes["aria-hidden"]?.toLowerCase() === "true" || name === "head"
const details = activeDetails
if (hidden || (details && !details.open && !details.summary && name !== "summary")) frame.suppressed = true
stack.push(frame)
if (frame.suppressed) return
if (activeCode && !activeCode.inline) {
if (name === "br") activeCode.text += "\n"
if (name === "code" && attributes.class)
activeCode.language = attributes.class.match(/(?:language-|lang-)([^\s]+)/)?.[1]
return
}
if (name === "details") {
frame.details = { open: "open" in attributes, summary: false, previous: activeDetails }
activeDetails = frame.details
block()
return
}
if (name === "summary") {
if (details) details.summary = true
block()
return
}
if (name === "pre") {
suspendLink(frame)
frame.code = { inline: false, text: "" }
activeCode = frame.code
return
}
if (name === "code") {
if (activeCode?.inline) return
frame.code = { inline: true, text: "" }
activeCode = frame.code
return
}
if (/^h[1-6]$/.test(name)) {
block()
inline(`${"#".repeat(Number(name[1]))} `)
return
}
if (blocks.has(name)) {
suspendLink(frame)
if (name === "p" && last === " ") return
block()
return
}
if (name === "br") {
pendingSpace = false
inline(" \n")
needsQuotePrefix = quoteDepth > 0
return
}
if (name === "hr") {
block()
inline("---")
block()
return
}
if (name === "strong" || name === "b") {
inline("**", true)
frame.marker = { index: output.length - 1, block: blockCount, previous: activeMarker }
activeMarker = frame.marker
return
}
if (name === "em" || name === "i") {
inline("*", true)
frame.marker = { index: output.length - 1, block: blockCount, previous: activeMarker }
activeMarker = frame.marker
return
}
if (name === "s" || name === "strike" || name === "del") {
inline("~~", true)
frame.marker = { index: output.length - 1, block: blockCount, previous: activeMarker }
activeMarker = frame.marker
return
}
if (name === "a") {
if (activeLink && activeCode?.inline) {
const parent = stack.findLast(
(candidate) => candidate.link === activeLink && candidate.linkCode === activeCode,
)
if (parent) {
finishCode(activeCode)
if (linkOpen) append(`](${destination(activeLink.href)}${title(activeLink.title)})`)
activeCode = parent.resumedCode
parent.link = undefined
parent.linkCode = undefined
activeLink = undefined
linkOpen = false
}
}
if (activeCode?.inline) {
frame.resumedCode = activeCode
if (activeCode.text) finishCode(activeCode)
activeCode.text = ""
activeCode = undefined
frame.link = { href: attributes.href ?? "", title: attributes.title }
activeLink = frame.link
linkOpen = true
inline("[", true)
frame.linkCode = { inline: true, text: "" }
activeCode = frame.linkCode
return
}
if (activeLink) {
if (linkOpen) append(`](${destination(activeLink.href)}${title(activeLink.title)})`)
const parent = stack.findLast((candidate) => candidate.link === activeLink)
if (parent) parent.link = undefined
activeLink = undefined
linkOpen = false
}
frame.link = { href: attributes.href ?? "", title: attributes.title }
activeLink = frame.link
linkOpen = true
return inline("[", true)
}
if (name === "img") {
const alt = (attributes.alt ?? "").replace(/([\\\]])/g, "\\$1")
const close = `](${destination(attributes.src ?? "")}${title(attributes.title)})`
const open = "!["
const available = CONTENT_BYTES - outputBytes - encoder.encode(open + close).byteLength
inline(`${open}${sliceBytes(alt, Math.max(0, available))}${close}`, true)
return
}
if (name === "blockquote") {
suspendLink(frame)
block()
quoteDepth++
needsQuotePrefix = true
return
}
if (name === "ul" || name === "ol") {
suspendLink(frame)
const start = Number.parseInt(attributes.start ?? "1")
frame.list = { ordered: name === "ol", next: Number.isNaN(start) ? 1 : start, previous: activeList }
activeList = frame.list
block()
return
}
if (name === "li") {
block()
const value = Number.parseInt(attributes.value ?? "")
if (activeList?.ordered && !Number.isNaN(value)) activeList.next = value
const marker = activeList?.ordered ? `${activeList.next++}.` : "-"
const prefix = `${(activeItem?.indent ?? "").slice(0, 24)}${marker} `
frame.item = { indent: " ".repeat(prefix.length), previous: activeItem }
activeItem = frame.item
pendingIndent = ""
inline(prefix)
return
}
if (name === "table") {
suspendLink(frame)
tableDepth++
if (tableDepth === 1) {
block()
frame.table = { start: output.length, rows: [], fallback: false, previous: activeTable }
activeTable = frame.table
} else pendingSpace = true
return
}
if (name === "tr") {
if (tableDepth !== 1) {
pendingSpace = true
return
}
if (activeTable) activeTable.row = []
return
}
if (name === "th" || name === "td") {
if (tableDepth !== 1) {
pendingSpace = true
return
}
if (attributes.colspan || attributes.rowspan) activeTable!.fallback = true
frame.cell = { start: output.length }
activeCell = frame.cell
return
}
if (name === "caption") {
frame.caption = { start: output.length }
return
}
if (name === "dt") {
block()
inline("**")
return
}
if (name === "dd") {
inline("\n: ")
return
}
},
ontext(value) {
if (stopped) {
if (fallbackSuppressedDepth === 0 && fallbackOmittedDepth === 0) text(value)
return
}
if (stack.at(-1)?.suppressed) return
text(value)
},
onclosetag(name) {
depth--
if (stopped) {
if (fallbackOmittedDepth > 0 && omitted.has(name)) fallbackOmittedDepth--
if (fallbackSuppressedDepth > 0 && depth < fallbackSuppressedDepth) fallbackSuppressedDepth = 0
return
}
const frame = stack.pop()
if (!frame || frame.suppressed) return
if (frame.linkCode) {
if (activeLink !== frame.link || !linkOpen) {
frame.resumedCode!.text += frame.linkCode.text
activeCode = frame.resumedCode
if (activeLink === frame.link) activeLink = undefined
linkOpen = false
return
}
activeCode = undefined
finishCode(frame.linkCode)
if (frame.link && linkOpen) append(`](${destination(frame.link.href)}${title(frame.link.title)})`)
activeLink = undefined
linkOpen = false
activeCode = frame.resumedCode
return
}
if (activeCode && !activeCode.inline && !frame.code) return
if (frame.code) {
activeCode = undefined
finishCode(frame.code)
if (frame.suspendedLink) activeLink = frame.suspendedLink
return
}
if (name === "summary") {
if (activeDetails) activeDetails.summary = false
return block()
}
if (name === "details") {
activeDetails = frame.details?.previous
return block()
}
if (name === "dt") {
inline("**")
return
}
if (name === "dd") return block()
if (
name === "strong" ||
name === "b" ||
name === "em" ||
name === "i" ||
name === "s" ||
name === "strike" ||
name === "del"
) {
const value = name === "strong" || name === "b" ? "**" : name === "em" || name === "i" ? "*" : "~~"
const trailingSpace = pendingSpace
pendingSpace = false
if (frame.marker) activeMarker = frame.marker.previous
if (frame.marker && (frame.marker.block !== blockCount || output.length === frame.marker.index + 1)) {
output[frame.marker.index] = ""
pendingSpace = trailingSpace || frame.marker.leadingSpace === true
return
}
inline(value)
pendingSpace = trailingSpace || frame.marker?.leadingSpace === true
return
}
if (name === "a") {
if (frame.link && (activeLink === frame.link || !activeLink)) {
activeLink = frame.link
if (linkOpen) append(`](${destination(frame.link?.href ?? "")}${title(frame.link?.title)})`)
else if (last && last !== "\n") append(`](${destination(frame.link?.href ?? "")}${title(frame.link?.title)})`)
linkOpen = false
activeLink = undefined
}
return
}
if (/^h[1-6]$/.test(name) || blocks.has(name)) {
block()
if (frame.suspendedLink) activeLink = frame.suspendedLink
return
}
if (name === "blockquote") {
quoteDepth--
block()
if (frame.suspendedLink) activeLink = frame.suspendedLink
return
}
if (name === "li") {
activeItem = frame.item?.previous
return block()
}
if (name === "ul" || name === "ol") {
activeList = frame.list?.previous
block()
if (frame.suspendedLink) activeLink = frame.suspendedLink
return
}
if ((name === "th" || name === "td") && tableDepth === 1) {
activeCell = undefined
if (frame.cell) {
const value = take(frame.cell.start)
.replace(/[\t\r\n ]+/g, " ")
.trim()
.replace(/(?<!\\)\|/g, "\\|")
activeTable?.row?.push(value)
}
return
}
if (name === "tr") {
if (tableDepth !== 1) return
if (activeTable?.row) activeTable.rows.push(activeTable.row)
if (activeTable) activeTable.row = undefined
pendingSpace = true
return
}
if (name === "caption" && frame.caption && activeTable) {
activeTable.caption = take(frame.caption.start)
.replace(/[\t\r\n ]+/g, " ")
.trim()
return
}
if (name === "table") {
tableDepth--
if (tableDepth === 0) {
const table = frame.table
activeTable = table?.previous
if (table) {
const loose = take(table.start)
.replace(/[\t\r\n ]+/g, " ")
.trim()
const width = table.rows[0]?.length ?? 0
const rectangular = width > 0 && table.rows.every((row) => row.length === width)
if (loose) {
append(loose)
block()
}
if (table.caption) {
append(table.caption)
block()
}
if (!table.fallback && rectangular) {
const prefix = `${quoteDepth > 0 ? `${"> ".repeat(Math.min(8, quoteDepth))}` : ""}${pendingIndent}`
pendingIndent = ""
append(`${prefix}| ${table.rows[0].join(" | ")} |\n${prefix}|${" --- |".repeat(width)}`)
for (const row of table.rows.slice(1)) append(`\n${prefix}| ${row.join(" | ")} |`)
} else {
for (const [index, row] of table.rows.entries()) {
if (index > 0) block()
append(row.join(" | "))
}
}
}
block()
if (frame.suspendedLink) activeLink = frame.suspendedLink
return
}
pendingSpace = true
}
},
})
for (let index = 0; index < html.length; index += 64 * 1024) parser.write(html.slice(index, index + 64 * 1024))
parser.end()
const normalized: string[] = []
let pendingText = ""
const flushText = () => {
if (!pendingText) return
const lines = pendingText
.replace(/[ \t]+\n/g, (space) => (space.startsWith(" ") ? " \n" : "\n"))
.replace(/\n{3,}/g, "\n\n")
.split("\n")
normalized.push(
lines
.map((line, index) => {
if (line) return line
const before = lines[index - 1]?.match(/^(?:> )+/)?.[0]
const after = lines[index + 1]?.match(/^(?:> )+/)?.[0]
if (!before || !after || before.length === after.length) return line
return "> ".repeat(Math.min(before.length, after.length) / 2).trimEnd()
})
.join("\n"),
)
pendingText = ""
}
for (const chunk of output) {
if (typeof chunk !== "string") {
flushText()
normalized.push(chunk.raw)
continue
}
pendingText += chunk
}
flushText()
return sliceBytes(normalized.join("").trim(), MAX_MARKDOWN_BYTES)
}
+3 -13
View File
@@ -4,17 +4,17 @@ import { ToolFailure } from "@opencode-ai/llm"
import { Duration, Effect, Layer, Schema } from "effect"
import { HttpClient, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
import { Parser } from "htmlparser2"
import TurndownService from "turndown"
import { makeLocationNode } from "../effect/app-node"
import { LayerNodePlatform } from "../effect/app-node-platform"
import { PermissionV2 } from "../permission"
import { convertHTMLToMarkdown, MAX_MARKDOWN_BYTES } from "./html-markdown"
import { collectBoundedResponseBody } from "./http-body"
import { ToolRegistry } from "./registry"
import { Tool } from "./tool"
import { Tools } from "./tools"
export const name = "webfetch"
export const MAX_RESPONSE_BYTES = 5 * 1024 * 1024
export const MAX_RESPONSE_BYTES = MAX_MARKDOWN_BYTES
export const DEFAULT_TIMEOUT_SECONDS = 30
export const MAX_TIMEOUT_SECONDS = 120
@@ -205,14 +205,4 @@ export function extractTextFromHTML(html: string) {
return text.trim()
}
export function convertHTMLToMarkdown(html: string) {
const turndown = new TurndownService({
headingStyle: "atx",
hr: "---",
bulletListMarker: "-",
codeBlockStyle: "fenced",
emDelimiter: "*",
})
turndown.remove(["script", "style", "meta", "link"])
return turndown.turndown(html)
}
export { convertHTMLToMarkdown }
+1 -1
View File
@@ -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",
+28
View File
@@ -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")
})
+20
View File
@@ -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([
+62 -1
View File
@@ -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
+313 -6
View File
@@ -69,9 +69,316 @@ describe("WebFetchTool helpers", () => {
})
test("ports HTML text and markdown conversions without active content", () => {
const html = "<h1>Hello</h1><script>bad()</script><p>world <strong>wide</strong></p><style>.bad {}</style>"
expect(WebFetchTool.extractTextFromHTML(html)).toBe("Helloworld wide")
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe("# Hello\n\nworld **wide**")
const html =
"<h1>Hello</h1><script>bad()</script><p>world <strong>wide</strong> <product-name>today</product-name></p><style>.bad {}</style>"
expect(WebFetchTool.extractTextFromHTML(html)).toBe("Helloworld wide today")
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe("# Hello\n\nworld **wide** today")
})
test("renders headings, inline semantics, links, images, breaks, and thematic breaks", () => {
const html = `<h2>Read <em>this</em></h2><p><a href="https://example.com/a (b)" title="Example">docs</a><br><img src="diagram.png" alt="a ] b"></p><hr><p><del>old</del></p>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`## Read *this*\n\n[docs](https://example.com/a%20\\(b\\) "Example") \n![a \\] b](diagram.png)\n\n---\n\n~~old~~`,
)
})
test("preserves inline and preformatted code verbatim with safe fences", () => {
const html = `<p>Use <code>say(\`hello\`)</code> now.</p><pre><code class="language-ts">const fence = \`\`\`\n&amp; stays decoded</code></pre>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`Use \`\`say(\`hello\`)\`\` now.\n\n~~~ts\nconst fence = \`\`\`\n& stays decoded\n~~~`,
)
})
test("keeps nested ordered and unordered lists structurally readable", () => {
const html = `<ol start="3"><li>alpha<ul><li>nested <strong>item</strong></li></ul></li><li><p>beta first</p><p>beta second</p></li></ol>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`3. alpha\n\n - nested **item**\n\n4. beta first\n\n beta second`,
)
})
test("renders blockquotes and tables as readable Markdown", () => {
const html = `<blockquote><p>quoted <em>text</em></p><ul><li>point</li></ul></blockquote><table><thead><tr><th>Name</th><th>Value</th></tr></thead><tbody><tr><td>one</td><td><code>1</code></td></tr></tbody></table>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`> quoted *text*\n\n> - point\n\n| Name | Value |\n| --- | --- |\n| one | \`1\` |`,
)
})
test("decodes entities and normalizes prose whitespace without joining words", () => {
const html = `<p>alpha\n <span>&amp; beta</span> <unknown>caf&eacute;</unknown>&nbsp;gamma 😀</p><p>delta</p>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(`alpha & beta café gamma 😀\n\ndelta`)
})
test("omits active and fallback content while retaining surrounding prose", () => {
const html = `<p>before <script><b>bad</b></script><style>bad</style><noscript>bad</noscript><iframe>bad</iframe><object>bad</object><embed src="bad"><meta content="bad"><link href="bad"><template>bad</template> after</p>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe("before after")
})
test("is deterministic and bounded for malformed maximum-size input", () => {
const html = `<main><p>${"visible &amp; text ".repeat(250_000)}</main></p></unknown>`
const first = WebFetchTool.convertHTMLToMarkdown(html)
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(first)
expect(first.startsWith("visible & text visible & text")).toBe(true)
expect(first.length).toBeLessThanOrEqual(html.length)
})
test("bounds deeply nested list output and fragmented code fences", () => {
const lists = `${"<ul><li>item".repeat(2_000)}${"</li></ul>".repeat(2_000)}`
const quotes = `${"<blockquote><p>item".repeat(2_000)}${"</p></blockquote>".repeat(2_000)}`
const code = `<pre>${"` x ".repeat(250_000)}</pre>`
expect(WebFetchTool.convertHTMLToMarkdown(lists).length).toBeLessThan(lists.length * 4)
expect(WebFetchTool.convertHTMLToMarkdown(quotes).length).toBeLessThan(quotes.length * 4)
expect(() => WebFetchTool.convertHTMLToMarkdown(code)).not.toThrow()
expect(
WebFetchTool.convertHTMLToMarkdown(
"<div>".repeat(20_000) + "safe<script><b>bad</b>&amp;</script><p>tail &amp;</p>",
),
).toBe("safe tail &")
})
test("escapes prose that would otherwise become Markdown structure", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<p># heading</p><p>1. item</p><p>---</p><p>a | b</p>`)).toBe(
`\\# heading\n\n1\\. item\n\n\\---\n\na \\| b`,
)
})
test("preserves code whitespace and quotes every line of multiline blocks", () => {
const html = `<blockquote><pre>line \n\n\nnext</pre><table><tr><td>a|b</td><td>c</td></tr></table></blockquote>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`> \`\`\`\n> line \n> \n> \n> next\n> \`\`\`\n\n> | a\\|b | c |\n> | --- | --- |`,
)
})
test("keeps nested blockquotes inside their outer quote", () => {
const html = `<blockquote><p>outer</p><blockquote><p>inner</p></blockquote><p>end</p></blockquote>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(`> outer\n>\n> > inner\n>\n> end`)
})
test("keeps visible whitespace around inline emphasis", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<p>a<strong> b</strong> c a <em>b </em>c</p>`)).toBe(`a **b** c a *b* c`)
expect(WebFetchTool.convertHTMLToMarkdown(`a<strong> </strong>b a<em> </em>b`)).toBe(`a b a b`)
})
test("captures formatting elements inside preformatted content as code only", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<pre><b>x</b><i>y</i><del>z</del></pre>`)).toBe(`\`\`\`\nxyz\n\`\`\``)
})
test("normalizes multiline table cells without changing their columns", () => {
const html = `<table><tr><td>x<br>y</td><td><code>a|b</code></td><td><p>first</p><p>second</p></td></tr></table>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(`| x y | \`a\\|b\` | first second |\n| --- | --- | --- |`)
})
test("flattens nested tables without corrupting the outer table", () => {
const html = `<table><tr><th>Parent</th><th>Sibling</th></tr><tr><td>Before<table><tr><th>Key</th><th>Value</th></tr><tr><td>A</td><td>1</td></tr></table>After</td><td>Tail</td></tr></table>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`| Parent | Sibling |\n| --- | --- |\n| Before Key Value A 1 After | Tail |`,
)
})
test("preserves loose text around malformed table rows", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<table>before<tr><td>cell</td></tr>after</table>`)).toBe(
`before after\n\n| cell |\n| --- |`,
)
expect(WebFetchTool.convertHTMLToMarkdown(`<table>alpha</table>`)).toBe(`alpha`)
})
test("escapes tilde fences and removes empty emphasis markers", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<p>~~~</p><p><strong></strong>content</p><p>~~~</p>`)).toBe(
`\\~\\~\\~\n\ncontent\n\n\\~\\~\\~`,
)
})
test("parses malformed tag prefixes in linear time without a regex prepass", () => {
const small = "<a".repeat(250_000)
const large = "<a".repeat(1_000_000)
const start = Bun.nanoseconds()
WebFetchTool.convertHTMLToMarkdown(small)
const smallDuration = Bun.nanoseconds() - start
const next = Bun.nanoseconds()
WebFetchTool.convertHTMLToMarkdown(large)
const largeDuration = Bun.nanoseconds() - next
expect(largeDuration).toBeLessThan(smallDuration * 10)
})
test("caps escaped prose and backtick-heavy pre output at the webfetch response ceiling", () => {
const prose = `<p>${"*".repeat(WebFetchTool.MAX_RESPONSE_BYTES)}</p>`
const code = `<pre>${"`".repeat(WebFetchTool.MAX_RESPONSE_BYTES - 11)}</pre>`
const proseOutput = WebFetchTool.convertHTMLToMarkdown(prose)
const codeOutput = WebFetchTool.convertHTMLToMarkdown(code)
expect(Buffer.byteLength(proseOutput)).toBeLessThanOrEqual(WebFetchTool.MAX_RESPONSE_BYTES)
expect(Buffer.byteLength(codeOutput)).toBeLessThanOrEqual(WebFetchTool.MAX_RESPONSE_BYTES)
expect(codeOutput.startsWith("~~~\n")).toBe(true)
})
test("does not confuse source NUL text with buffered code", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<p>before \u00000\u0000 after</p><pre>code</pre>`)).toBe(
`before \u00000\u0000 after\n\n\`\`\`\ncode\n\`\`\``,
)
})
test("preserves multiline inline code verbatim", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<p><code>first\n\n\nsecond </code></p>`)).toBe(
"` first\n\n\nsecond `",
)
})
test("prefixes inline code at the start of a blockquote line", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<blockquote><code>x</code> y</blockquote>`)).toBe(`> \`x\` y`)
})
test("keeps links nested in inline code associated with their text", () => {
const html = `<dl><dt><code>socket = new <a href="#constructor">WebSocket</a>(url)</code><dd>Creates one.</dl>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`**\` socket = new \`[\`WebSocket\`](#constructor)\`(url)\`**\n: Creates one.`,
)
expect(WebFetchTool.convertHTMLToMarkdown(`<code><a href="#x">x</a></code> after`)).toBe(`[\`x\`](#x) after`)
expect(
WebFetchTool.convertHTMLToMarkdown(
`<dl><dt><code><var>socket</var> = new <code><a href="#constructor">WebSocket</a></code>(<var>url</var>)</code><dd>Creates one.</dl>`,
),
).toBe(`**\` socket = new \`[\`WebSocket\`](#constructor)\`(url)\`**\n: Creates one.`)
expect(WebFetchTool.convertHTMLToMarkdown(`<code>a<a href="/x">b<a href="/y">c</a>d</a>e</code>`)).toBe(
`\`a\`[\`b\`](\/x)[\`c\`](\/y)\`de\``,
)
expect(WebFetchTool.convertHTMLToMarkdown(`<code>a<a href="/x">b</code>c`)).toBe(`\`a\`[\`b\`](\/x)c`)
expect(WebFetchTool.convertHTMLToMarkdown(`<code>a<a href="/x"><div>b</div>c</a>d</code>`)).toBe(
`\`a\`[](\/x)\n\n\`bcd\``,
)
})
test("indents nested list continuations and preserves ordered numbering", () => {
const html = `<ol start="0"><li value="4"><p>first</p><p>continued</p><ul><li><p>nested</p><p>continued nested</p></li></ul></li><li>next</li></ol>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`4. first\n\n continued\n\n - nested\n\n continued nested\n\n5. next`,
)
})
test("renders block content outside link syntax", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<a href="/docs">before<div>block</div>after</a>`)).toBe(
`[before](/docs)\n\nblock\n\n[after](/docs)`,
)
})
test("recovers nested anchors without unmatched Markdown syntax", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<a href="/a">x<a href="/b">y</a>z</a>`)).toBe(`[x](/a)[y](/b)z`)
})
test("keeps emphasis whitespace through neutral wrappers", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<p>a<strong><span> bold</span></strong>c</p>`)).toBe(`a **bold** c`)
})
test("flattens preformatted content inside table cells", () => {
const html = `<table><tr><td><pre>a|b\nnext</pre></td><td><code>x|y</code></td></tr></table>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(`| a\\|b next | \`x\\|y\` |\n| --- | --- |`)
})
test("keeps each near-boundary inline construct closed and UTF-8-safe", () => {
const payload = "😀".repeat(WebFetchTool.MAX_RESPONSE_BYTES / 4)
const cases = [
[`<strong>${payload}</strong>`, /^\*\*[\s\S]*\*\*$/],
[`<a href="/docs">${payload}</a>`, /^\[[\s\S]*\]\(\/docs\)$/],
[`<img src="image.png" alt="${payload}">`, /^!\[[\s\S]*\]\(image\.png\)$/],
[`<code>${payload}</code>`, /^`[\s\S]*`$/],
] as const
for (const [html, pattern] of cases) {
const output = WebFetchTool.convertHTMLToMarkdown(html)
expect(Buffer.byteLength(output)).toBeLessThanOrEqual(WebFetchTool.MAX_RESPONSE_BYTES)
expect(output).not.toContain("")
expect(output).toMatch(pattern)
}
})
test("keeps near-boundary block constructs syntactically complete", () => {
const payload = "x".repeat(WebFetchTool.MAX_RESPONSE_BYTES)
const table = WebFetchTool.convertHTMLToMarkdown(
`<table><tr><th>Name</th></tr><tr><td>${payload}</td></tr></table>`,
)
const list = WebFetchTool.convertHTMLToMarkdown(`<ul><li>${payload}</li></ul><ul><li>nested</li></ul>`)
const code = WebFetchTool.convertHTMLToMarkdown(`<pre>${payload}</pre>`)
for (const output of [table, list, code]) {
expect(Buffer.byteLength(output)).toBeLessThanOrEqual(WebFetchTool.MAX_RESPONSE_BYTES)
expect(output).not.toContain("")
}
expect(table).toMatch(/^\| Name \|\n\| --- \|\n\| [\s\S]* \|$/)
expect(list).toMatch(/^- [\s\S]*$/)
expect(list.includes("nested")).toBe(false)
expect(code.match(/^(`{3,}|~{3,})$/gm)).toHaveLength(2)
})
test("keeps quoted code within budget with a safe closed fence", () => {
const html = `<blockquote><pre>${"`".repeat(32)}${"~".repeat(32)}${"x".repeat(WebFetchTool.MAX_RESPONSE_BYTES)}</pre></blockquote>`
const output = WebFetchTool.convertHTMLToMarkdown(html)
expect(Buffer.byteLength(output)).toBeLessThanOrEqual(WebFetchTool.MAX_RESPONSE_BYTES)
const lines = output.split("\n")
expect(lines[0]).toMatch(/^> (`{33}|~{33})$/)
expect(lines.at(-1)).toBe(lines[0])
})
test("separates reconstructed tables from adjacent inline and quoted content", () => {
const html = `intro<table><tr><td>x</td></tr></table>outro<blockquote>quote<table><tr><td>cell</td></tr></table></blockquote><ul><li>item<table><tr><td>cell</td></tr></table></li></ul>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`intro\n\n| x |\n| --- |\n\noutro\n\n> quote\n\n> | cell |\n> | --- |\n\n- item\n\n| cell |\n| --- |`,
)
})
test("keeps multiline quoted code closed at the content budget", () => {
const html = `<blockquote><pre>${"x\n".repeat(WebFetchTool.MAX_RESPONSE_BYTES / 2)}</pre></blockquote><p>tail</p>`
const output = WebFetchTool.convertHTMLToMarkdown(html)
expect(Buffer.byteLength(output)).toBeLessThanOrEqual(WebFetchTool.MAX_RESPONSE_BYTES)
expect((output.match(/(`{3}|~{3})/g) ?? []).length).toBe(2)
expect(output.includes("\uFFFD")).toBe(false)
expect(output.endsWith("tail")).toBe(true)
})
test("keeps active content suppressed when depth fallback begins", () => {
const html = `<object>${"<div>".repeat(10_001)}LEAK${"</div>".repeat(10_001)}</object><p>visible</p>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe("visible")
})
test("keeps visible text after depth fallback begins inside preformatted content", () => {
const html = `<pre>${"<i>".repeat(10_001)}visible${"</i>".repeat(10_001)}</pre><p>after</p>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe("visible after")
})
test("resumes links around every block structure", () => {
const html = `<a href="/x">before<blockquote><p>quote</p></blockquote><ul><li>item</li></ul><pre>code</pre><table><tr><td>cell</td></tr></table>after</a>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`[before](/x)\n\n> quote\n\n- item\n\n\`\`\`\ncode\n\`\`\`\n\n| cell |\n| --- |\n\n[after](/x)`,
)
})
test("indents child lists from the actual parent marker width", () => {
expect(WebFetchTool.convertHTMLToMarkdown(`<ol start="100"><li>outer<ul><li>inner</li></ul></li></ol>`)).toBe(
`100. outer\n\n - inner`,
)
})
test("renders captions and definition lists with readable boundaries", () => {
const html = `<table><caption>Cache modes</caption><tr><th>Name</th><th>Meaning</th></tr><tr><td>A</td><td>Local</td></tr></table><dl><dt>Cache</dt><dd>A local store</dd><dt>Origin</dt><dd>The remote source</dd></dl>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`Cache modes\n\n| Name | Meaning |\n| --- | --- |\n| A | Local |\n\n**Cache**\n: A local store\n\n**Origin**\n: The remote source`,
)
})
test("falls back to row-oriented text for table spans", () => {
const html = `<table><tr><th colspan="2">Group</th></tr><tr><td>A</td><td rowspan="2">Shared</td></tr><tr><td>B</td></tr></table>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(`Group\n\nA | Shared\n\nB`)
})
test("suppresses head and hidden subtrees while retaining visible body content", () => {
const html = `<head><title>noise</title></head><body><p>visible</p><div hidden>hidden</div><div aria-hidden="true">aria</div><div aria-hidden="false">shown</div></body>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(`visible\n\nshown`)
})
test("preserves pre breaks and normalizes multiline link titles", () => {
const html = `<pre>first<br>second</pre><p><a href="/x" title="line one\n line two">link</a></p>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(
`\`\`\`\nfirst\nsecond\n\`\`\`\n\n[link](/x "line one line two")`,
)
})
test("renders closed and open details according to visibility", () => {
const html = `<details><summary>Closed</summary><p>secret</p></details><details open><summary>Open</summary><p>visible</p></details>`
expect(WebFetchTool.convertHTMLToMarkdown(html)).toBe(`Closed\n\nOpen\n\nvisible`)
})
})
@@ -179,7 +486,7 @@ describe("WebFetchTool registration", () => {
}),
)
it.effect("returns an error result when HTML-to-Markdown conversion throws", () =>
it.effect("converts deeply nested HTML without overflowing", () =>
Effect.gen(function* () {
reset()
respond = () =>
@@ -192,8 +499,8 @@ describe("WebFetchTool registration", () => {
const url = "https://1.1.1.1/deep-html"
expect(yield* executeTool(registry, call({ url, format: "markdown" }))).toEqual({
type: "error",
value: `Unable to fetch ${url}`,
type: "text",
value: "content",
})
}),
)
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/desktop",
"private": true,
"version": "1.18.15",
"version": "1.18.18",
"type": "module",
"license": "MIT",
"homepage": "https://opencode.ai",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$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 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.15",
"version": "1.18.18",
"name": "@opencode-ai/effect-sqlite-node",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/enterprise",
"version": "1.18.15",
"version": "1.18.18",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/function",
"version": "1.18.15",
"version": "1.18.18",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.15",
"version": "1.18.18",
"name": "@opencode-ai/http-recorder",
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.15",
"version": "1.18.18",
"name": "@opencode-ai/llm",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -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":
+24 -17
View File
@@ -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.
+11 -3
View File
@@ -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
+9 -2
View File
@@ -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 -4
View File
@@ -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", () => {
+22 -3
View File
@@ -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 -1
View File
@@ -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 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/sdk",
"version": "1.18.15",
"version": "1.18.18",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$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 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/session-ui",
"version": "1.18.15",
"version": "1.18.18",
"private": true,
"type": "module",
"license": "MIT",
+4
View File
@@ -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 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/slack",
"version": "1.18.15",
"version": "1.18.18",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/stats-app",
"version": "1.18.15",
"version": "1.18.18",
"private": true,
"type": "module",
"license": "MIT",
+2 -1
View File
@@ -1,7 +1,7 @@
{
"$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"
},
@@ -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) {
+147 -105
View File
@@ -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}, '')
+105
View File
@@ -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
View File
@@ -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"
+14 -13
View File
@@ -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 ${JSON.stringify({
accountId: Resource.R2Sql.accountId,
bucket: Resource.R2Sql.bucket,
dataset: Resource.StatsSyncConfig.dataset,
table: Resource.InferenceEvent.table,
workgroup: Resource.InferenceEvent.workgroup,
region: Resource.InferenceEvent.region,
namespace: Resource.R2Sql.namespace,
table: Resource.R2Sql.table,
stage: Resource.App.stage,
})}`,
)
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$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",
+5 -5
View File
@@ -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")
@@ -40,9 +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 -1
View File
@@ -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 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/ui",
"version": "1.18.15",
"version": "1.18.18",
"type": "module",
"license": "MIT",
"repository": {
+1 -1
View File
@@ -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",
+1 -1
View File
@@ -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",
+1 -1
View File
@@ -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` |
+71 -72
View File
@@ -53,69 +53,69 @@ 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 3.5 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 +140,10 @@ 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 | - |
@@ -178,6 +177,8 @@ https://opencode.ai/zen/v1/models
| 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 +218,10 @@ 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 +276,10 @@ 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).
+1 -1
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@@ -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` |
+71 -72
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@@ -58,69 +58,69 @@ 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 3.5 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 +147,10 @@ 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 | - |
@@ -185,6 +184,8 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
| 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 +225,10 @@ 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 +288,10 @@ 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).
+1 -1
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@@ -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` |
+71 -72
View File
@@ -58,69 +58,69 @@ 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 3.5 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 +147,10 @@ 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 | - |
@@ -185,6 +184,8 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
| 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 +225,10 @@ 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 +286,10 @@ 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).
+1 -1
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@@ -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` |
+71 -72
View File
@@ -49,69 +49,69 @@ 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 3.5 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 +136,10 @@ 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 | - |
@@ -174,6 +173,8 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
| 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 +214,10 @@ 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 +272,10 @@ 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.
+1 -1
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@@ -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 |
+1 -1
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@@ -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` |
+71 -72
View File
@@ -58,69 +58,69 @@ 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 3.5 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 +147,10 @@ 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 | - |
@@ -185,6 +184,8 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
| 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 +225,10 @@ 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 +286,10 @@ 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).
+1 -1
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@@ -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` |
+71 -72
View File
@@ -49,69 +49,69 @@ 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 3.5 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 +136,10 @@ 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 | - |
@@ -174,6 +173,8 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
| 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 +214,10 @@ 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 +272,10 @@ 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 dutilisation](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).
+1 -1
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@@ -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.
---
+4 -4
View File
@@ -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.
---
+1 -1
View File
@@ -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` |
+71 -72
View File
@@ -58,69 +58,69 @@ 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 3.5 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 +147,10 @@ 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 | - |
@@ -185,6 +184,8 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
| 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 +225,10 @@ 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 +286,10 @@ 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).
+1 -1
View File
@@ -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` |
+71 -72
View File
@@ -49,69 +49,69 @@ 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 3.5 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 +136,10 @@ 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 | - |
@@ -174,6 +173,8 @@ https://opencode.ai/zen/v1/models
| 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 +214,10 @@ 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 +272,10 @@ 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 FreeNVIDIA 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 FreeNVIDIA 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。

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