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Merge remote-tracking branch 'origin/dev' into feat/core-command-registry

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Dax Raad 2026-06-04 02:04:13 -04:00
commit 19f3d39f9c
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"@aws-sdk/credential-provider-cognito-identity/@aws-sdk/nested-clients/@aws-sdk/core/@aws-sdk/xml-builder": ["@aws-sdk/xml-builder@3.972.26", "", { "dependencies": { "@smithy/types": "^4.14.2", "fast-xml-parser": "5.7.3", "tslib": "^2.6.2" } }, "sha512-cDbrqvDS73whl6YAPSPq0U6whzG6UWI9PuWh0wrUuGoZexhWEqhdunbukV7iBoaWnFV1AODutM5hOD6rtn439g=="],
"@aws-sdk/credential-provider-env/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
"@aws-sdk/credential-provider-http/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
@ -6936,6 +6886,8 @@
"@solidjs/start/shiki/@shikijs/engine-javascript/oniguruma-to-es": ["oniguruma-to-es@2.3.0", "", { "dependencies": { "emoji-regex-xs": "^1.0.0", "regex": "^5.1.1", "regex-recursion": "^5.1.1" } }, "sha512-bwALDxriqfKGfUufKGGepCzu9x7nJQuoRoAFp4AnwehhC2crqrDIAP/uN2qdlsAvSMpeRC3+Yzhqc7hLmle5+g=="],
"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
@ -7012,8 +6964,6 @@
"@aws-sdk/client-sts/@aws-sdk/credential-provider-node/@aws-sdk/credential-provider-sso/@aws-sdk/token-providers/@aws-sdk/nested-clients": ["@aws-sdk/nested-clients@3.782.0", "", { "dependencies": { "@aws-crypto/sha256-browser": "5.2.0", "@aws-crypto/sha256-js": "5.2.0", "@aws-sdk/core": "3.775.0", "@aws-sdk/middleware-host-header": "3.775.0", "@aws-sdk/middleware-logger": "3.775.0", "@aws-sdk/middleware-recursion-detection": "3.775.0", "@aws-sdk/middleware-user-agent": "3.782.0", "@aws-sdk/region-config-resolver": "3.775.0", "@aws-sdk/types": "3.775.0", "@aws-sdk/util-endpoints": "3.782.0", "@aws-sdk/util-user-agent-browser": "3.775.0", "@aws-sdk/util-user-agent-node": "3.782.0", "@smithy/config-resolver": "^4.1.0", "@smithy/core": "^3.2.0", "@smithy/fetch-http-handler": "^5.0.2", "@smithy/hash-node": "^4.0.2", "@smithy/invalid-dependency": "^4.0.2", "@smithy/middleware-content-length": "^4.0.2", "@smithy/middleware-endpoint": "^4.1.0", "@smithy/middleware-retry": "^4.1.0", "@smithy/middleware-serde": "^4.0.3", "@smithy/middleware-stack": "^4.0.2", "@smithy/node-config-provider": "^4.0.2", "@smithy/node-http-handler": "^4.0.4", "@smithy/protocol-http": "^5.1.0", "@smithy/smithy-client": "^4.2.0", "@smithy/types": "^4.2.0", "@smithy/url-parser": "^4.0.2", "@smithy/util-base64": "^4.0.0", "@smithy/util-body-length-browser": "^4.0.0", "@smithy/util-body-length-node": "^4.0.0", "@smithy/util-defaults-mode-browser": "^4.0.8", "@smithy/util-defaults-mode-node": "^4.0.8", "@smithy/util-endpoints": "^3.0.2", "@smithy/util-middleware": "^4.0.2", "@smithy/util-retry": "^4.0.2", "@smithy/util-utf8": "^4.0.0", "tslib": "^2.6.2" } }, "sha512-QOYC8q7luzHFXrP0xYAqBctoPkynjfV0r9dqntFu4/IWMTyC1vlo1UTxFAjIPyclYw92XJyEkVCVg9v/nQnsUA=="],
"@aws-sdk/credential-provider-cognito-identity/@aws-sdk/nested-clients/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser": ["fast-xml-parser@5.7.3", "", { "dependencies": { "@nodable/entities": "^2.1.0", "fast-xml-builder": "^1.1.7", "path-expression-matcher": "^1.5.0", "strnum": "^2.2.3" }, "bin": { "fxparser": "src/cli/cli.js" } }, "sha512-C0AaNuC+mscy6vrAQKAc/rMq+zAPHodfHGZu4sGVehvAQt/JLG1O5zEcYcXSY5zSqr4YVgxsB+pHXTq0i7eDlg=="],
"@aws-sdk/credential-provider-env/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"@aws-sdk/credential-provider-http/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
@ -7072,8 +7022,6 @@
"tw-to-css/tailwindcss/chokidar/readdirp/picomatch": ["picomatch@2.3.2", "", {}, "sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA=="],
"@aws-sdk/credential-provider-cognito-identity/@aws-sdk/nested-clients/@aws-sdk/core/@aws-sdk/xml-builder/fast-xml-parser/strnum": ["strnum@2.3.0", "", {}, "sha512-ums3KNd42PGyx5xaoVTO1mjU1bH3NpY4vsrVlnv9PNGqQj8wd7rJ6nEypLrJ7z5vxK5RP0yMLo6J/Gsm62DI5Q=="],
"archiver-utils/glob/jackspeak/@isaacs/cliui/string-width/emoji-regex": ["emoji-regex@9.2.2", "", {}, "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="],
"archiver-utils/glob/jackspeak/@isaacs/cliui/wrap-ansi/ansi-styles": ["ansi-styles@6.2.3", "", {}, "sha512-4Dj6M28JB+oAH8kFkTLUo+a2jwOFkuqb3yucU0CANcRRUbxS0cP0nZYCGjcc3BNXwRIsUVmDGgzawme7zvJHvg=="],

2
bunfig.toml
View file

@ -2,7 +2,7 @@
exact = true
# Only install newly resolved package versions published at least 3 days ago.
minimumReleaseAge = 259200
minimumReleaseAgeExcludes = ["@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-x64", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "gitlab-ai-provider"]
minimumReleaseAgeExcludes = ["@ai-sdk/amazon-bedrock", "@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-x64", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "gitlab-ai-provider"]
[test]
root = "./do-not-run-tests-from-root"

8
nix/hashes.json
View file

@ -1,8 +1,8 @@
{
"nodeModules": {
"x86_64-linux": "sha256-k/929seqiOr9p6p6ofC2eZBdL1EMCAOgrYF5FQf+dsg=",
"aarch64-linux": "sha256-zvoW88v72iV206rOS+SBuUqF07MDD9a72yrVWVLEH30=",
"aarch64-darwin": "sha256-SEBaCte0TPHthFfnR/lLcRXEy6EIookexeYCe87/tNY=",
"x86_64-darwin": "sha256-V4+NtyNJtRRXuB8nem8QPAhFSBVlcSLs2ln+PROHFLw="
"x86_64-linux": "sha256-VJyM9J6fjpFjlUGDl4AKPZB2IpV+nN8Tduj4n1dPSFw=",
"aarch64-linux": "sha256-L8X/W7XbAUwwz+4luj4qVZbrnnjM2+DGuEL1aSNO2wM=",
"aarch64-darwin": "sha256-oA2xSHcs/axmGH1kcXZpELrv5DlB6DRDW3ybD3s4z1E=",
"x86_64-darwin": "sha256-mG7z3K9IOdX/XdiHLvCyLfVvXwsgMw1LIc2XbJUdRRI="
}
}

4
packages/core/package.json
View file

@ -55,7 +55,7 @@
},
"dependencies": {
"@ai-sdk/alibaba": "1.0.17",
"@ai-sdk/amazon-bedrock": "4.0.107",
"@ai-sdk/amazon-bedrock": "4.0.112",
"@ai-sdk/anthropic": "3.0.71",
"@ai-sdk/azure": "3.0.49",
"@ai-sdk/cerebras": "2.0.41",
@ -74,7 +74,7 @@
"@ai-sdk/togetherai": "2.0.41",
"@ai-sdk/vercel": "2.0.39",
"@ai-sdk/xai": "3.0.82",
"@aws-sdk/credential-providers": "3.993.0",
"@aws-sdk/credential-providers": "3.1057.0",
"@effect/opentelemetry": "catalog:",
"@effect/platform-node": "catalog:",
"@effect/sql-sqlite-bun": "catalog:",

6
packages/core/src/aisdk.ts
View file

@ -82,7 +82,11 @@ function prepareOptions(model: ModelV2.Info, pkg: string) {
if (abortSignals.length === 1) opts.signal = abortSignals[0]
if (abortSignals.length > 1) opts.signal = AbortSignal.any(abortSignals)
if ((pkg === "@ai-sdk/openai" || pkg === "@ai-sdk/azure") && opts.body && opts.method === "POST") {
if (
(pkg === "@ai-sdk/openai" || pkg === "@ai-sdk/azure" || pkg === "@ai-sdk/amazon-bedrock/mantle") &&
opts.body &&
opts.method === "POST"
) {
const body = JSON.parse(opts.body as string)
if (body.store !== true && Array.isArray(body.input)) {
for (const item of body.input) {

25
packages/core/src/plugin/provider/amazon-bedrock.ts
View file

@ -1,7 +1,14 @@
import { Effect } from "effect"
import type { LanguageModelV3 } from "@ai-sdk/provider"
import { PluginV2 } from "../../plugin"
import { ProviderV2 } from "../../provider"
type MantleSDK = {
languageModel: (modelID: string) => LanguageModelV3
chat: (modelID: string) => LanguageModelV3
responses: (modelID: string) => LanguageModelV3
}
// Bedrock cross-region inference profiles require regional prefixes only for
// specific model/region combinations. Keep the mapping narrow and avoid
// double-prefixing model IDs that models.dev already marks as global/us/eu/etc.
@ -46,6 +53,12 @@ function resolveModelID(modelID: string, region: string | undefined) {
: modelID
}
function selectMantleModel(sdk: MantleSDK, modelID: string) {
if (modelID === "openai.gpt-oss-safeguard-20b" || modelID === "openai.gpt-oss-safeguard-120b")
return sdk.chat(modelID)
return sdk.responses(modelID)
}
export const AmazonBedrockPlugin = PluginV2.define({
id: PluginV2.ID.make("amazon-bedrock"),
effect: Effect.gen(function* () {
@ -65,7 +78,7 @@ export const AmazonBedrockPlugin = PluginV2.define({
}
}),
"aisdk.sdk": Effect.fn(function* (evt) {
if (evt.package !== "@ai-sdk/amazon-bedrock") return
if (!["@ai-sdk/amazon-bedrock", "@ai-sdk/amazon-bedrock/mantle"].includes(evt.package)) return
const options = { ...evt.options }
const profile = typeof options.profile === "string" ? options.profile : process.env.AWS_PROFILE
const region = typeof options.region === "string" ? options.region : (process.env.AWS_REGION ?? "us-east-1")
@ -86,11 +99,21 @@ export const AmazonBedrockPlugin = PluginV2.define({
options.credentialProvider = fromNodeProviderChain(profile ? { profile } : {})
}
if (evt.package === "@ai-sdk/amazon-bedrock/mantle") {
const mod = yield* Effect.promise(() => import("@ai-sdk/amazon-bedrock/mantle"))
evt.sdk = mod.createBedrockMantle(options)
return
}
const mod = yield* Effect.promise(() => import("@ai-sdk/amazon-bedrock"))
evt.sdk = mod.createAmazonBedrock(options)
}),
"aisdk.language": Effect.fn(function* (evt) {
if (evt.model.providerID !== ProviderV2.ID.amazonBedrock) return
if (evt.model.api.type === "aisdk" && evt.model.api.package === "@ai-sdk/amazon-bedrock/mantle") {
evt.language = selectMantleModel(evt.sdk, evt.model.api.id)
return
}
const region = typeof evt.options.region === "string" ? evt.options.region : process.env.AWS_REGION
evt.language = evt.sdk.languageModel(resolveModelID(evt.model.api.id, region))
}),

86
packages/core/test/plugin/provider-amazon-bedrock.test.ts
View file

@ -18,6 +18,13 @@ function bedrockFetch(sdk: unknown, modelID = "anthropic.claude-sonnet-4-5") {
).config.fetch
}
function openAIUrl(language: unknown, path: string, modelId: string) {
return (language as { config: { url: (input: { path: string; modelId: string }) => string } }).config.url({
path,
modelId,
})
}
describe("AmazonBedrockPlugin", () => {
it.effect("moves endpoint option to api URL", () =>
Effect.gen(function* () {
@ -242,6 +249,85 @@ describe("AmazonBedrockPlugin", () => {
),
)
it.effect("creates Mantle SDK with GPT-5 OpenAI base path", () =>
withEnv({ AWS_BEARER_TOKEN_BEDROCK: undefined, AWS_PROFILE: undefined, AWS_ACCESS_KEY_ID: undefined }, () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
yield* plugin.add(AmazonBedrockPlugin)
const result = yield* plugin.trigger(
"aisdk.sdk",
{
model: model("amazon-bedrock", "openai.gpt-5.5", {
api: { type: "aisdk", package: "@ai-sdk/amazon-bedrock/mantle" },
}),
package: "@ai-sdk/amazon-bedrock/mantle",
options: {
name: "amazon-bedrock",
bearerToken: "token",
baseURL: "https://bedrock-mantle.us-east-2.api.aws/openai/v1",
region: "us-east-2",
},
},
{},
)
const language = result.sdk.responses("openai.gpt-5.5")
expect(openAIUrl(language, "/responses", "openai.gpt-5.5")).toBe(
"https://bedrock-mantle.us-east-2.api.aws/openai/v1/responses",
)
}),
),
)
it.effect("selects Mantle APIs without Bedrock cross-region prefixes", () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
const calls: string[] = []
yield* plugin.add(AmazonBedrockPlugin)
yield* plugin.trigger(
"aisdk.language",
{
model: model("amazon-bedrock", "openai.gpt-5.5", {
api: { type: "aisdk", package: "@ai-sdk/amazon-bedrock/mantle" },
}),
sdk: fakeSelectorSdk(calls),
options: { baseURL: "https://bedrock-mantle.us-east-2.api.aws/openai/v1", region: "us-east-2" },
},
{},
)
yield* plugin.trigger(
"aisdk.language",
{
model: model("amazon-bedrock", "openai.gpt-oss-safeguard-120b", {
api: { type: "aisdk", package: "@ai-sdk/amazon-bedrock/mantle" },
}),
sdk: fakeSelectorSdk(calls),
options: { region: "us-east-1" },
},
{},
)
expect(calls).toEqual(["responses:openai.gpt-5.5", "chat:openai.gpt-oss-safeguard-120b"])
}),
)
it.effect("ignores other Bedrock provider subpaths", () =>
Effect.gen(function* () {
const plugin = yield* PluginV2.Service
yield* plugin.add(AmazonBedrockPlugin)
const result = yield* plugin.trigger(
"aisdk.sdk",
{
model: model("amazon-bedrock", "anthropic.claude-sonnet-4-5", {
api: { type: "aisdk", package: "@ai-sdk/amazon-bedrock/anthropic" },
}),
package: "@ai-sdk/amazon-bedrock/anthropic",
options: { name: "amazon-bedrock" },
},
{},
)
expect(result.sdk).toBeUndefined()
}),
)
it.effect("uses SigV4 credential env when bearer token is absent", () =>
withEnv(
{

4
packages/opencode/package.json
View file

@ -57,7 +57,7 @@
"@actions/github": "6.0.1",
"@agentclientprotocol/sdk": "0.21.0",
"@ai-sdk/alibaba": "1.0.17",
"@ai-sdk/amazon-bedrock": "4.0.107",
"@ai-sdk/amazon-bedrock": "4.0.112",
"@ai-sdk/anthropic": "3.0.71",
"@ai-sdk/azure": "3.0.49",
"@ai-sdk/cerebras": "2.0.41",
@ -75,7 +75,7 @@
"@ai-sdk/togetherai": "2.0.41",
"@ai-sdk/vercel": "2.0.39",
"@ai-sdk/xai": "3.0.82",
"@aws-sdk/credential-providers": "3.993.0",
"@aws-sdk/credential-providers": "3.1057.0",
"@clack/prompts": "1.0.0-alpha.1",
"@effect/opentelemetry": "catalog:",
"@effect/platform-node": "catalog:",

32
packages/opencode/src/provider/provider.ts
View file

@ -101,10 +101,13 @@ function googleVertexAnthropicBaseURL(project: string | undefined, location: str
type BundledSDK = {
languageModel(modelId: string): LanguageModelV3
chat?: (modelId: string) => LanguageModelV3
responses?: (modelId: string) => LanguageModelV3
}
const BUNDLED_PROVIDERS: Record<string, () => Promise<(opts: any) => BundledSDK>> = {
"@ai-sdk/amazon-bedrock": () => import("@ai-sdk/amazon-bedrock").then((m) => m.createAmazonBedrock),
"@ai-sdk/amazon-bedrock/mantle": () => import("@ai-sdk/amazon-bedrock/mantle").then((m) => m.createBedrockMantle),
"@ai-sdk/anthropic": () => import("@ai-sdk/anthropic").then((m) => m.createAnthropic),
"@ai-sdk/azure": () => import("@ai-sdk/azure").then((m) => m.createAzure),
"@ai-sdk/google": () => import("@ai-sdk/google").then((m) => m.createGoogleGenerativeAI),
@ -131,7 +134,7 @@ const BUNDLED_PROVIDERS: Record<string, () => Promise<(opts: any) => BundledSDK>
"venice-ai-sdk-provider": () => import("venice-ai-sdk-provider").then((m) => m.createVenice),
}
type CustomModelLoader = (sdk: any, modelID: string, options?: Record<string, any>) => Promise<any>
type CustomModelLoader = (sdk: any, modelID: string, options?: Record<string, any>, model?: Model) => Promise<any>
type CustomVarsLoader = (options: Record<string, any>) => Record<string, string>
type CustomDiscoverModels = () => Promise<Record<string, Model>>
type CustomLoader = (provider: Info) => Effect.Effect<{
@ -157,6 +160,12 @@ function selectAzureLanguageModel(sdk: any, modelID: string, useChat: boolean) {
return sdk.languageModel(modelID)
}
function selectBedrockMantleLanguageModel(sdk: BundledSDK, modelID: string) {
if (modelID === "openai.gpt-oss-safeguard-20b" || modelID === "openai.gpt-oss-safeguard-120b")
return sdk.chat?.(modelID) ?? sdk.languageModel(modelID)
return sdk.responses?.(modelID) ?? sdk.languageModel(modelID)
}
function custom(dep: CustomDep): Record<string, CustomLoader> {
return {
anthropic: () =>
@ -332,7 +341,9 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
return {
autoload: true,
options: providerOptions,
async getModel(sdk: any, modelID: string, options?: Record<string, any>) {
async getModel(sdk: any, modelID: string, options?: Record<string, any>, model?: Model) {
if (model?.api.npm === "@ai-sdk/amazon-bedrock/mantle") return selectBedrockMantleLanguageModel(sdk, modelID)
// Skip region prefixing if model already has a cross-region inference profile prefix
// Models from models.dev may already include prefixes like us., eu., global., etc.
const crossRegionPrefixes = ["global.", "us.", "eu.", "jp.", "apac.", "au."]
@ -1619,7 +1630,9 @@ export const layer = Layer.effect(
// Strip openai itemId metadata following what codex does
if (
(model.api.npm === "@ai-sdk/openai" || model.api.npm === "@ai-sdk/azure") &&
(model.api.npm === "@ai-sdk/openai" ||
model.api.npm === "@ai-sdk/azure" ||
model.api.npm === "@ai-sdk/amazon-bedrock/mantle") &&
opts.body &&
opts.method === "POST"
) {
@ -1726,10 +1739,15 @@ export const layer = Layer.effect(
async () => {
const sdk = await resolveSDK(model, s, envs)
const language = s.modelLoaders[model.providerID]
? await s.modelLoaders[model.providerID](sdk, model.api.id, {
...provider.options,
...model.options,
})
? await s.modelLoaders[model.providerID](
sdk,
model.api.id,
{
...provider.options,
...model.options,
},
model,
)
: sdk.languageModel(model.api.id)
s.models.set(key, language)
return language

8
packages/opencode/src/provider/transform.ts
View file

@ -35,6 +35,8 @@ function sdkKey(npm: string): string | undefined {
return "azure"
case "@ai-sdk/openai":
return "openai"
case "@ai-sdk/amazon-bedrock/mantle":
return "openai"
case "@ai-sdk/amazon-bedrock":
return "bedrock"
case "@ai-sdk/anthropic":
@ -815,6 +817,7 @@ export function variants(model: Provider.Model): Record<string, Record<string, a
},
]),
)
case "@ai-sdk/amazon-bedrock/mantle":
case "@ai-sdk/openai": {
// https://v5.ai-sdk.dev/providers/ai-sdk-providers/openai
const efforts = openaiReasoningEfforts(model.api.id, model.release_date)
@ -1021,7 +1024,8 @@ export function options(input: {
if (
input.model.providerID === "openai" ||
input.model.api.npm === "@ai-sdk/openai" ||
input.model.api.npm === "@ai-sdk/github-copilot"
input.model.api.npm === "@ai-sdk/github-copilot" ||
input.model.api.npm === "@ai-sdk/amazon-bedrock/mantle"
) {
result["store"] = false
}
@ -1107,7 +1111,7 @@ export function options(input: {
if (!input.model.api.id.includes("gpt-5-pro")) {
result["reasoningEffort"] = "medium"
result["reasoningSummary"] = "auto"
if (input.model.api.npm === "@ai-sdk/openai") {
if (input.model.api.npm === "@ai-sdk/openai" || input.model.api.npm === "@ai-sdk/amazon-bedrock/mantle") {
result["include"] = INCLUDE_ENCRYPTED_REASONING
}
}

1
packages/opencode/src/session/message-v2.ts
View file

@ -159,6 +159,7 @@ export const toModelMessagesEffect = Effect.fnUntraced(function* (
const supportsMediaInToolResult = (attachment: { mime: string }) => {
if (model.api.npm === "@ai-sdk/anthropic") return true
if (model.api.npm === "@ai-sdk/openai") return true
if (model.api.npm === "@ai-sdk/amazon-bedrock/mantle") return true
if (model.api.npm === "@ai-sdk/amazon-bedrock") return attachment.mime.startsWith("image/")
if (model.api.npm === "@ai-sdk/xai") return attachment.mime.startsWith("image/")
if (model.api.npm === "@ai-sdk/google-vertex/anthropic") return true

90
packages/opencode/src/tool/task.ts
View file

@ -23,14 +23,20 @@ export interface TaskPromptOps {
const id = "task"
const BACKGROUND_DESCRIPTION = [
"",
"",
[
"Background mode: background=true launches the subagent asynchronously and returns immediately.",
"Foreground is the default; use it when you need the result before continuing.",
"Use background only for independent work that can run while you continue elsewhere.",
"You will be notified automatically when it finishes.",
].join(" "),
"Background mode: background=true launches the subagent asynchronously and returns immediately.",
"Foreground is the default; use it when you need the result before continuing.",
"Use background only for independent work that can run while you continue elsewhere.",
"You will be notified automatically when it finishes.",
].join(" ")
const BACKGROUND_STARTED = [
"Background task started. You will be notified automatically when it finishes.",
"Do not poll for progress, ask the task for status, or duplicate its work by investigating the same files or topic yourself.",
"Continue only with non-overlapping work, or briefly tell the user what you launched and stop.",
].join("\n")
const BACKGROUND_UPDATED = [
"Additional context sent to the running background task.",
"The task is still running; wait for the automatic completion notification.",
"Do not poll for progress or duplicate its work.",
].join("\n")
const BaseParameterFields = {
@ -53,47 +59,16 @@ export const Parameters = Schema.Struct({
}),
})
function output(sessionID: SessionID, text: string) {
return [`<task id="${sessionID}" state="completed">`, "<task_result>", text, "</task_result>", "</task>"].join("\n")
}
function backgroundOutput(sessionID: SessionID) {
return [
`<task id="${sessionID}" state="running">`,
"<summary>Background task started</summary>",
"<task_result>",
"Background task started. You will be notified automatically when it finishes; do not poll for progress.",
"Do not duplicate its work. Continue only with non-overlapping work, or stop if there is nothing else useful to do.",
"</task_result>",
"</task>",
].join("\n")
}
function backgroundUpdateOutput(sessionID: SessionID) {
return [
`<task id="${sessionID}" state="running">`,
"<summary>Background task updated</summary>",
"<task_result>",
"Additional context sent to the background task.",
"</task_result>",
"</task>",
].join("\n")
}
function backgroundMessage(input: {
function renderOutput(input: {
sessionID: SessionID
description: string
state: "completed" | "error"
state: "running" | "completed" | "error"
summary?: string
text: string
}) {
const tag = input.state === "completed" ? "task_result" : "task_error"
const title =
input.state === "completed"
? `Background task completed: ${input.description}`
: `Background task failed: ${input.description}`
const tag = input.state === "error" ? "task_error" : "task_result"
return [
`<task id="${input.sessionID}" state="${input.state}">`,
`<summary>${title}</summary>`,
...(input.summary ? [`<summary>${input.summary}</summary>`] : []),
`<${tag}>`,
input.text,
`</${tag}>`,
@ -228,10 +203,13 @@ export const TaskTool = Tool.define(
{
type: "text",
synthetic: true,
text: backgroundMessage({
text: renderOutput({
sessionID: nextSession.id,
description: params.description,
state,
summary:
state === "completed"
? `Background task completed: ${params.description}`
: `Background task failed: ${params.description}`,
text,
}),
},
@ -248,7 +226,12 @@ export const TaskTool = Tool.define(
background: true,
jobId: nextSession.id,
},
output: backgroundUpdateOutput(nextSession.id),
output: renderOutput({
sessionID: nextSession.id,
state: "running",
summary: "Background task updated",
text: BACKGROUND_UPDATED,
}),
}
}
@ -275,7 +258,12 @@ export const TaskTool = Tool.define(
...metadata,
jobId: info.id,
},
output: backgroundOutput(nextSession.id),
output: renderOutput({
sessionID: nextSession.id,
state: "running",
summary: "Background task started",
text: BACKGROUND_STARTED,
}),
}
}
@ -296,7 +284,7 @@ export const TaskTool = Tool.define(
return {
title: params.description,
metadata,
output: output(nextSession.id, text),
output: renderOutput({ sessionID: nextSession.id, state: "completed", text }),
}
}),
(_, exit) =>
@ -313,7 +301,9 @@ export const TaskTool = Tool.define(
})
return {
description: flags.experimentalBackgroundSubagents ? DESCRIPTION + BACKGROUND_DESCRIPTION : DESCRIPTION,
description: flags.experimentalBackgroundSubagents
? [DESCRIPTION, BACKGROUND_DESCRIPTION].join("\n\n")
: DESCRIPTION,
parameters: Parameters,
jsonSchema: flags.experimentalBackgroundSubagents ? undefined : ToolJsonSchema.fromSchema(BaseParameters),
execute: (params: Schema.Schema.Type<typeof Parameters>, ctx: Tool.Context) =>

11
packages/opencode/src/tool/task.txt
View file

@ -11,8 +11,9 @@ When NOT to use the Task tool:
Usage notes:
1. Launch multiple agents concurrently whenever possible, to maximize performance; to do that, use a single message with multiple tool uses
2. When the agent is done, it will return a single message back to you. The result returned by the agent is not visible to the user. To show the user the result, you should send a text message back to the user with a concise summary of the result. The output includes a task_id you can reuse later to continue the same subagent session.
3. Each agent invocation starts with a fresh context unless you provide task_id to resume the same subagent session (which continues with its previous messages and tool outputs). When starting fresh, your prompt should contain a highly detailed task description for the agent to perform autonomously and you should specify exactly what information the agent should return back to you in its final and only message to you.
4. The agent's outputs should generally be trusted
5. Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user's intent. Tell it how to verify its work if possible (e.g., relevant test commands).
6. If the agent description mentions that it should be used proactively, then you should try your best to use it without the user having to ask for it first. Use your judgement.
2. Once you have delegated work to an agent, do not duplicate that work yourself. Continue with non-overlapping tasks, or wait for the result.
3. When the agent is done, it will return a single message back to you. The result returned by the agent is not visible to the user. To show the user the result, you should send a text message back to the user with a concise summary of the result. The output includes a task_id you can reuse later to continue the same subagent session.
4. Each agent invocation starts with a fresh context unless you provide task_id to resume the same subagent session (which continues with its previous messages and tool outputs). When starting fresh, your prompt should contain a highly detailed task description for the agent to perform autonomously and you should specify exactly what information the agent should return back to you in its final and only message to you.
5. The agent's outputs should generally be trusted
6. Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user's intent. Tell it how to verify its work if possible (e.g., relevant test commands).
7. If the agent description mentions that it should be used proactively, then you should try your best to use it without the user having to ask for it first. Use your judgement.

73
packages/opencode/test/provider/amazon-bedrock.test.ts
View file

@ -33,6 +33,20 @@ afterEach(async () => {
const list = Provider.use.list()
const mantleModelConfig = {
provider: { npm: "@ai-sdk/amazon-bedrock/mantle" },
limit: { context: 272_000, output: 32_000 },
modalities: {
input: ["text", "image", "pdf"] as Array<"text" | "image" | "pdf">,
output: ["text"] as Array<"text">,
},
}
const mantleOpenAIModelConfig = {
...mantleModelConfig,
provider: { npm: "@ai-sdk/amazon-bedrock/mantle", api: "https://bedrock-mantle.us-east-2.api.aws/openai/v1" },
}
const withAuthJson = (contents: string) =>
Effect.acquireRelease(
Effect.promise(async () => {
@ -94,6 +108,65 @@ it.instance(
{ config: { provider: { "amazon-bedrock": { options: { region: "eu-west-1" } } } } },
)
it.instance(
"Bedrock Mantle: GPT-5.5 uses Responses API and OpenAI base path",
() =>
Effect.gen(function* () {
yield* set("AWS_BEARER_TOKEN_BEDROCK", "test-bearer-token")
const model = yield* Provider.use.getModel(ProviderV2.ID.amazonBedrock, ProviderV2.ModelID.make("openai.gpt-5.5"))
const language = yield* Provider.use.getLanguage(model)
expect((language as { provider: string }).provider).toBe("bedrock-mantle.responses")
expect((language as { modelId: string }).modelId).toBe("openai.gpt-5.5")
expect(
(language as unknown as { config: { url: (input: { path: string; modelId: string }) => string } }).config.url({
path: "/responses",
modelId: "openai.gpt-5.5",
}),
).toBe("https://bedrock-mantle.us-east-2.api.aws/openai/v1/responses")
}),
{
config: {
provider: {
"amazon-bedrock": {
options: { region: "us-east-2" },
models: { "openai.gpt-5.5": mantleOpenAIModelConfig },
},
},
},
},
)
it.instance(
"Bedrock Mantle: GPT OSS safeguard uses Chat Completions and Mantle base path",
() =>
Effect.gen(function* () {
yield* set("AWS_BEARER_TOKEN_BEDROCK", "test-bearer-token")
const model = yield* Provider.use.getModel(
ProviderV2.ID.amazonBedrock,
ProviderV2.ModelID.make("openai.gpt-oss-safeguard-120b"),
)
const language = yield* Provider.use.getLanguage(model)
expect((language as { provider: string }).provider).toBe("bedrock-mantle.chat")
expect((language as { modelId: string }).modelId).toBe("openai.gpt-oss-safeguard-120b")
expect(
(language as unknown as { config: { url: (input: { path: string; modelId: string }) => string } }).config.url({
path: "/chat/completions",
modelId: "openai.gpt-oss-safeguard-120b",
}),
).toBe("https://bedrock-mantle.us-east-1.api.aws/v1/chat/completions")
}),
{
config: {
provider: {
"amazon-bedrock": {
options: { region: "us-east-1" },
models: { "openai.gpt-oss-safeguard-120b": mantleModelConfig },
},
},
},
},
)
it.instance(
"Bedrock: config profile takes precedence over AWS_PROFILE env var",
() =>

56
packages/opencode/test/provider/transform.test.ts
View file

@ -275,6 +275,25 @@ describe("ProviderTransform.options - gpt-5 textVerbosity", () => {
expect(result.include).toEqual(["reasoning.encrypted_content"])
})
test("Bedrock Mantle gpt-5.5 uses OpenAI Responses defaults", () => {
const model = {
...createGpt5Model("openai.gpt-5.5"),
id: "amazon-bedrock/openai.gpt-5.5",
providerID: "amazon-bedrock",
api: {
id: "openai.gpt-5.5",
url: "https://bedrock-mantle.us-east-2.api.aws/openai/v1",
npm: "@ai-sdk/amazon-bedrock/mantle",
},
}
const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
expect(result.store).toBe(false)
expect(result.reasoningEffort).toBe("medium")
expect(result.reasoningSummary).toBe("auto")
expect(result.include).toEqual(["reasoning.encrypted_content"])
expect(result.textVerbosity).toBe("low")
})
test("gpt-5.1 should have textVerbosity set to low", () => {
const model = createGpt5Model("gpt-5.1")
const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
@ -563,6 +582,21 @@ describe("ProviderTransform.providerOptions", () => {
})
})
test("maps Bedrock Mantle provider options to OpenAI namespace", () => {
const model = createModel({
providerID: "amazon-bedrock",
api: {
id: "openai.gpt-5.5",
url: "https://bedrock-mantle.us-east-2.api.aws/openai/v1",
npm: "@ai-sdk/amazon-bedrock/mantle",
},
})
expect(ProviderTransform.providerOptions(model, { reasoningEffort: "medium" })).toEqual({
openai: { reasoningEffort: "medium" },
})
})
test("uses groq slug for groq models", () => {
const model = createModel({
providerID: "vercel",
@ -3164,6 +3198,28 @@ describe("ProviderTransform.variants", () => {
})
})
describe("@ai-sdk/amazon-bedrock/mantle", () => {
test("gpt-5.5 returns OpenAI-style reasoning variants", () => {
const model = createMockModel({
id: "openai.gpt-5.5",
providerID: "amazon-bedrock",
api: {
id: "openai.gpt-5.5",
url: "https://bedrock-mantle.us-east-2.api.aws/openai/v1",
npm: "@ai-sdk/amazon-bedrock/mantle",
},
release_date: "2026-04-23",
})
const result = ProviderTransform.variants(model)
expect(Object.keys(result)).toEqual(["none", "low", "medium", "high", "xhigh"])
expect(result.medium).toEqual({
reasoningEffort: "medium",
reasoningSummary: "auto",
include: ["reasoning.encrypted_content"],
})
})
})
describe("@ai-sdk/anthropic", () => {
for (const testCase of [
{

12
packages/opencode/test/session/prompt.test.ts
View file

@ -1678,7 +1678,7 @@ unix(
yield* llm.tool("bash", {
command:
'i=0; while [ "$i" -lt 4000 ]; do printf "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx %05d\\n" "$i"; i=$((i + 1)); done; sleep 30',
'i=0; while [ "$i" -lt 4000 ]; do printf "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx %05d\\n" "$i"; i=$((i + 1)); done; printf truncation-ready; sleep 30',
description: "Print many lines",
timeout: 30_000,
workdir: path.resolve(dir),
@ -1686,7 +1686,15 @@ unix(
const run = yield* prompt.loop({ sessionID: chat.id }).pipe(Effect.forkChild)
yield* llm.wait(1)
yield* Effect.sleep(150)
yield* pollWithTimeout(
Effect.gen(function* () {
const msgs = yield* MessageV2.filterCompactedEffect(chat.id)
const assistant = msgs.findLast((item) => item.info.role === "assistant")
const tool = assistant ? toolPart(assistant.parts) : undefined
if (tool?.state.status === "running" && tool.state.metadata?.output.includes("truncation-ready")) return true
}),
"timed out waiting for truncated shell output",
)
yield* prompt.cancel(chat.id)
const exit = yield* Fiber.await(run)