90e86a5e3d
* tweak: use theme tokens for debug bar surface * chore: update nix node_modules hashes * feat(tui): add heap snapshot functionality for TUI and server (#19028) * ci * change model for changelog * release: v1.3.2 * fix(opencode): skip typechecking generated models snapshot (#19018) * Revert "fix(app): more startup efficiency (#18985)" This reverts commit98b3340cee. * Revert "fix(app): startup efficiency (#18854)" This reverts commit546748a461. * effectify Worktree service (#18679) * fix: increase operations-per-run to 1000 and pin stale action to v10.2.0 The stale-issues workflow was hitting the default 30 operations limit, preventing it from processing all 2900+ issues/PRs. Increased to 1000 to handle the full backlog. Also pinned to exact v10.2.0 for reproducibility. * Add close-issues script and GitHub Action - Create script/github/close-issues.ts to close stale issues after 60 days - Add GitHub Action workflow to run daily at 2 AM - Remove old stale-issues workflow to avoid conflicts * Fix close-issues workflow permissions - Add contents: read permission for checkout - Use github.token instead of secrets.GITHUB_TOKEN * Process issues sequentially to avoid rate limits * Change issue close reason from not_planned to completed * fix(opencode): avoid snapshotting files over 2MB (#19043) * fix: provide merge context to beta conflict resolver (#19055) * tweak: only spawn lsp servers for files in current instance (or cwd if instance is global) (#19058) * fix: beta resolver typecheck + build smoke check (#19060) * fix: unblock beta conflict recovery (#19068) * electron: add createDirectory to open directory picker (#19071) * electron: remove file extension from electron-store wrapper (#19082) * app: pre-warm project globalSync state when navigate project via keybind (#19088) * fix(app): move message navigation off cmd+arrow (#18728) * Reapply "fix(app): startup efficiency (#18854)" This reverts commita379eb3867. * Reapply "fix(app): more startup efficiency (#18985)" This reverts commitcbe1337f24. * fix(app): hash inline script for csp * Revert "fix(app): startup efficiency" * Reapply "fix(app): startup efficiency" This reverts commit898456a25c. * fix(app): opencode web server url * chore(app): markdown playground in storyboard * chore(app): markdown playground in storyboard * feat(core): initial implementation of syncing (#17814) * chore: generate * chore: bump modelcontextprotocol/sdk to 1.27.1 (#19064) * chore: storybook tweaks * feat: restore git-backed review modes with effectful git service (#18900) * chore: generate * chore: update nix node_modules hashes * chore: cleanup * chore: remove dead code for todoread tool (#19128) * chore: storybook tweaks * fix(opencode): classify ZlibError from Bun fetch as retryable instead of unknown (#19104) Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com> * fix(task): respect agent permission config for todowrite tool (#19125) * fix(app): agent normalization (#19169) * fix: Windows e2e stability (CrossSpawnSpawner, snapshot isolation, session race guards) (#19163) * fix+refactor(mcp): lifecycle tests, cancelPending fix, Effect migration (#19042) * effectify Bus service: migrate to Effect PubSub + InstanceState (#18579) * file: use Effect.cached for scan deduplication (#19164) * ignore: update disavowed list (#19184) * skill: use Effect.cached for load deduplication (#19165) * chore: generate * fix: bump gitlab-ai-provider to 5.3.3 for DWS tool approval support (#19185) * test: restore 5 workers on Windows e2e (#19188) * fix(opencode): image paste on Windows Terminal 1.25+ with kitty keyboard (#17674) * chore: update nix node_modules hashes * wip: zen * wip: zen * go: do not respect disabled zen models * fix: ensure enterprise url is set properly during auth flow (#19212) * revert: roll back git-backed review modes (#19295) * chore: generate * tui: bypass local SSE event streaming in worker (#19183) * feat: embed WebUI in binary with proxy flags (#19299) Co-authored-by: BlankParticle <blankparticle@gmail.com> * release: v1.3.3 * chore: generate * changelog ci tweaks * refactor(lsp): effectify LSP service with InstanceState (#19150) * chore: generate * feat: add gpt prompt so non codex gpt models have their own system prompt modeled after codex cli (#19220) * feat(core): remove workspace server, WorkspaceContext, start work towards better routing (#19316) * effectify Config service (#19139) * chore: generate * refactor(config): use cachedInvalidateWithTTL, bump effect to beta.37 (#19322) * fix(mcp): close transport on failed/timed-out connections (#19200) * fix(app): more startup perf (#19288) * chore: generate * chore: update nix node_modules hashes * fix(app): don't bundle fonts (#19329) * chore: generate * fix(app): default shell tool to collapsed * fix(app): remove fork session button * fix(ui): reduce markdown jank while responses stream (#19304) * fix: web ui bundle build on windows (#19337) * refactor(effect): yield services instead of promise facades (#19325) * chore: generate * refactor(vcs): replace async git() with ChildProcessSpawner (#19361) * fix(opencode): ignore generated models snapshot files (#19362) * fix(ui): keep partial markdown readable while responses stream (#19403) * chore: update nix node_modules hashes * fix(app): persist queued followups across project switches (#19421) * refactor(tool-registry): yield Config/Plugin services, use Effect.forEach (#19363) * chore: generate * tui plugins (#19347) * chore: generate * effectify Skill service internals (#19364) * chore: update nix node_modules hashes * effectify Plugin service internals (#19365) * refactor(core): split out instance and route through workspaces (#19335) * chore(app): more spacing controls * fix(ui): make streamed markdown feel more continuous (#19404) * fix(app): resize layout viewport when mobile keyboard appears (#15841) * fix(desktop-electron): match dev dock icon inset on macOS (#19429) * fix(app): default file tree to closed with minimum width (#19426) * fix flaky plugin tests (no mock.module for bun) (#19445) * tweak: add additional overflow error patterns (#19446) * no theme override in dev (#19456) * feat: AI SDK v6 support (#18433) * refactor(session): effectify Session service (#19449) * refactor(core): move more responsibility to workspace routing (#19455) * chore: update nix node_modules hashes * refactor(format): use ChildProcessSpawner instead of Process.spawn (#19457) * chore: generate * Single target plugin entrypoints (#19467) * refactor(session): effectify SessionCompaction service (#19459) * feat(ci): use Azure Artifact Signing for Windows releases (#15201) * fix(app): more startup efficiency (#19454) * update effect to 4.0.0-beta.42 (#19484) * chore: update nix node_modules hashes * tweak: adjust bash tool description to increase cache hit rates between projects (#19487) * refactor(session): move context into prompt footer (#19486) * refactor(prompt): remove variant cycle display from footer (#19489) * feat: add model variant selection dialog (#19488) * fix: restore subagent footer and fix style guide violations (#19491) * tweak(session): add top spacing and remove obsolete docs prompt * upgrade opentui to 0.1.91 (#19440) * refactor(file): use AppFileSystem instead of raw Filesystem (#19458) * chore: generate * chore: update nix node_modules hashes * kv theme before default fallback (#19523) * feat: open dialog for model variant selection instead of cycling (#19534) * refactor(session): effectify session processor (#19485) * feat: dialog variant menu and subagent improvements (#19537) * use theme color for prompt placeholder (#19535) * fix: update opencode-gitlab-auth to 2.0.1 (#19552) * chore: update nix node_modules hashes * prompt slot (#19563) * fix: respect semver build identifiers for nix (#11915) * fix: nix embedded web-ui support (#19561) * ignore: kill todo (#19566) * chore: update nix node_modules hashes * wip: zen * wip: zen * zen: ZDR policy * ci: cancel stale nix-hashes runs (#19571) * release: v1.3.4 * refactor: kilo compat for v1.3.4 * fix: migration types * refactor: upgrade kilo-gateway to ai sdk v6 * refactor: improve upstream merge script * fix: fix some tests * style(kilo-vscode): adjust indentation and formatting in parts-util and PopupSelector Normalize boolean expression indentation in isCompletionResult to use consistent 4-space alignment and reformat PopupSelectorProps generic interface declaration to split the Omit type across multiple lines. * docs(kilo-docs): update auto-generated source links Remove outdated URLs and add new bug report issue link pointing to anomalyco/opencode repository. Drop references to kilocode bug report template and config precedence order docs, reducing total unique URLs from 262 to 261. * fix(kilo-ui): remove unused NerdFonts story and MONO_NERD_FONTS import Drop the NerdFonts story from font.stories.tsx along with the unused MONO_NERD_FONTS import, as the exported constant is no longer available from the @opencode-ai/ui/font module. * chore: update visual regression baselines * fix(opencode): move Show conditional wrapper outside box in home onboarding Relocate the Show component to wrap the box element instead of being nested inside it, preventing the empty box from rendering when the onboarding tip is not visible. --------- Co-authored-by: Jay V <air@live.ca> Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com> Co-authored-by: Dax <mail@thdxr.com> Co-authored-by: Dax Raad <d@ironbay.co> Co-authored-by: opencode <opencode@sst.dev> Co-authored-by: Kit Langton <kit.langton@gmail.com> Co-authored-by: Adam <2363879+adamdotdevin@users.noreply.github.com> Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com> Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com> Co-authored-by: Shoubhit Dash <shoubhit2005@gmail.com> Co-authored-by: James Long <longster@gmail.com> Co-authored-by: André Cruz <acruz@cloudflare.com> Co-authored-by: Ariane Emory <97994360+ariane-emory@users.noreply.github.com> Co-authored-by: Vladimir Glafirov <vglafirov@gitlab.com> Co-authored-by: Frank <frank@anoma.ly> Co-authored-by: BlankParticle <blankparticle@gmail.com> Co-authored-by: Sebastian <hasta84@gmail.com> Co-authored-by: Burak Yigit Kaya <byk@sentry.io> Co-authored-by: Caleb Norton <n0603919@outlook.com> Co-authored-by: Imanol Maiztegui <imanol.mzd@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
3015 lines
88 KiB
TypeScript
3015 lines
88 KiB
TypeScript
import { describe, expect, test } from "bun:test"
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import { ProviderTransform } from "../../src/provider/transform"
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import { ModelID, ProviderID } from "../../src/provider/schema"
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const OUTPUT_TOKEN_MAX = 32000
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describe("ProviderTransform.options - setCacheKey", () => {
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const sessionID = "test-session-123"
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const mockModel = {
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id: "anthropic/claude-3-5-sonnet",
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providerID: "anthropic",
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api: {
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id: "claude-3-5-sonnet-20241022",
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url: "https://api.anthropic.com",
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npm: "@ai-sdk/anthropic",
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},
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name: "Claude 3.5 Sonnet",
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capabilities: {
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temperature: true,
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reasoning: false,
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attachment: true,
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toolcall: true,
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input: { text: true, audio: false, image: true, video: false, pdf: true },
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output: { text: true, audio: false, image: false, video: false, pdf: false },
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interleaved: false,
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},
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cost: {
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input: 0.003,
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output: 0.015,
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cache: { read: 0.0003, write: 0.00375 },
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},
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limit: {
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context: 200000,
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output: 8192,
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},
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status: "active",
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options: {},
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headers: {},
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} as any
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test("should set promptCacheKey when providerOptions.setCacheKey is true", () => {
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const result = ProviderTransform.options({
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model: mockModel,
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sessionID,
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providerOptions: { setCacheKey: true },
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})
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expect(result.promptCacheKey).toBe(sessionID)
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})
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test("should not set promptCacheKey when providerOptions.setCacheKey is false", () => {
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const result = ProviderTransform.options({
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model: mockModel,
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sessionID,
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providerOptions: { setCacheKey: false },
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})
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expect(result.promptCacheKey).toBeUndefined()
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})
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test("should not set promptCacheKey when providerOptions is undefined", () => {
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const result = ProviderTransform.options({
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model: mockModel,
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sessionID,
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providerOptions: undefined,
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})
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expect(result.promptCacheKey).toBeUndefined()
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})
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test("should not set promptCacheKey when providerOptions does not have setCacheKey", () => {
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const result = ProviderTransform.options({ model: mockModel, sessionID, providerOptions: {} })
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expect(result.promptCacheKey).toBeUndefined()
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})
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test("should set promptCacheKey for openai provider regardless of setCacheKey", () => {
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const openaiModel = {
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...mockModel,
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providerID: "openai",
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api: {
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id: "gpt-4",
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url: "https://api.openai.com",
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npm: "@ai-sdk/openai",
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},
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}
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const result = ProviderTransform.options({ model: openaiModel, sessionID, providerOptions: {} })
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expect(result.promptCacheKey).toBe(sessionID)
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})
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test("should set store=false for openai provider", () => {
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const openaiModel = {
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...mockModel,
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providerID: "openai",
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api: {
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id: "gpt-4",
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url: "https://api.openai.com",
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npm: "@ai-sdk/openai",
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},
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}
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const result = ProviderTransform.options({
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model: openaiModel,
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sessionID,
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providerOptions: {},
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})
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expect(result.store).toBe(false)
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})
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})
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describe("ProviderTransform.options - google thinkingConfig gating", () => {
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const sessionID = "test-session-123"
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const createGoogleModel = (reasoning: boolean, npm: "@ai-sdk/google" | "@ai-sdk/google-vertex") =>
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({
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id: `${npm === "@ai-sdk/google" ? "google" : "google-vertex"}/gemini-2.0-flash`,
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providerID: npm === "@ai-sdk/google" ? "google" : "google-vertex",
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api: {
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id: "gemini-2.0-flash",
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url: npm === "@ai-sdk/google" ? "https://generativelanguage.googleapis.com" : "https://vertexai.googleapis.com",
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npm,
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},
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name: "Gemini 2.0 Flash",
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capabilities: {
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temperature: true,
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reasoning,
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attachment: true,
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toolcall: true,
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input: { text: true, audio: false, image: true, video: false, pdf: true },
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output: { text: true, audio: false, image: false, video: false, pdf: false },
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interleaved: false,
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},
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cost: {
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input: 0.001,
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output: 0.002,
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cache: { read: 0.0001, write: 0.0002 },
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},
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limit: {
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context: 1_000_000,
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output: 8192,
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},
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status: "active",
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options: {},
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headers: {},
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}) as any
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test("does not set thinkingConfig for google models without reasoning capability", () => {
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const result = ProviderTransform.options({
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model: createGoogleModel(false, "@ai-sdk/google"),
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sessionID,
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providerOptions: {},
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})
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expect(result.thinkingConfig).toBeUndefined()
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})
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test("sets thinkingConfig for google models with reasoning capability", () => {
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const result = ProviderTransform.options({
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model: createGoogleModel(true, "@ai-sdk/google"),
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sessionID,
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providerOptions: {},
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})
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expect(result.thinkingConfig).toEqual({
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includeThoughts: true,
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})
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})
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test("does not set thinkingConfig for vertex models without reasoning capability", () => {
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const result = ProviderTransform.options({
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model: createGoogleModel(false, "@ai-sdk/google-vertex"),
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sessionID,
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providerOptions: {},
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})
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expect(result.thinkingConfig).toBeUndefined()
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})
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})
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describe("ProviderTransform.options - gpt-5 textVerbosity", () => {
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const sessionID = "test-session-123"
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const createGpt5Model = (apiId: string) =>
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({
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id: `openai/${apiId}`,
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providerID: "openai",
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api: {
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id: apiId,
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url: "https://api.openai.com",
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npm: "@ai-sdk/openai",
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},
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name: apiId,
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capabilities: {
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temperature: true,
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reasoning: true,
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attachment: true,
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toolcall: true,
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input: { text: true, audio: false, image: true, video: false, pdf: false },
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output: { text: true, audio: false, image: false, video: false, pdf: false },
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interleaved: false,
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},
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cost: { input: 0.03, output: 0.06, cache: { read: 0.001, write: 0.002 } },
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limit: { context: 128000, output: 4096 },
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status: "active",
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options: {},
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headers: {},
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}) as any
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test("gpt-5.2 should have textVerbosity set to low", () => {
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const model = createGpt5Model("gpt-5.2")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result.textVerbosity).toBe("low")
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})
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test("gpt-5.1 should have textVerbosity set to low", () => {
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const model = createGpt5Model("gpt-5.1")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result.textVerbosity).toBe("low")
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})
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test("gpt-5.2-chat-latest should NOT have textVerbosity set (only supports medium)", () => {
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const model = createGpt5Model("gpt-5.2-chat-latest")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result.textVerbosity).toBeUndefined()
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})
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test("gpt-5.1-chat-latest should NOT have textVerbosity set (only supports medium)", () => {
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const model = createGpt5Model("gpt-5.1-chat-latest")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result.textVerbosity).toBeUndefined()
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})
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test("gpt-5.2-chat should NOT have textVerbosity set", () => {
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const model = createGpt5Model("gpt-5.2-chat")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result.textVerbosity).toBeUndefined()
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})
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test("gpt-5-chat should NOT have textVerbosity set", () => {
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const model = createGpt5Model("gpt-5-chat")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result.textVerbosity).toBeUndefined()
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})
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test("gpt-5.2-codex should NOT have textVerbosity set (codex models excluded)", () => {
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const model = createGpt5Model("gpt-5.2-codex")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result.textVerbosity).toBeUndefined()
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})
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})
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describe("ProviderTransform.options - gateway", () => {
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const sessionID = "test-session-123"
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const createModel = (id: string) =>
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({
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id,
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providerID: "vercel",
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api: {
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id,
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url: "https://ai-gateway.vercel.sh/v3/ai",
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npm: "@ai-sdk/gateway",
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},
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name: id,
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capabilities: {
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temperature: true,
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reasoning: true,
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attachment: true,
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toolcall: true,
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input: { text: true, audio: false, image: true, video: false, pdf: true },
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output: { text: true, audio: false, image: false, video: false, pdf: false },
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interleaved: false,
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},
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cost: {
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input: 0.001,
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output: 0.002,
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cache: { read: 0.0001, write: 0.0002 },
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},
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limit: {
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context: 200_000,
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output: 8192,
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},
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status: "active",
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options: {},
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headers: {},
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release_date: "2024-01-01",
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}) as any
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test("puts gateway defaults under gateway key", () => {
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const model = createModel("anthropic/claude-sonnet-4")
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const result = ProviderTransform.options({ model, sessionID, providerOptions: {} })
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expect(result).toEqual({
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gateway: {
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caching: "auto",
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},
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})
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})
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})
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describe("ProviderTransform.providerOptions", () => {
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const createModel = (overrides: Partial<any> = {}) =>
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({
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id: "test/test-model",
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providerID: "test",
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api: {
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id: "test-model",
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url: "https://api.test.com",
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npm: "@ai-sdk/openai",
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},
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name: "Test Model",
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capabilities: {
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temperature: true,
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reasoning: true,
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attachment: true,
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toolcall: true,
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input: { text: true, audio: false, image: true, video: false, pdf: false },
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output: { text: true, audio: false, image: false, video: false, pdf: false },
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interleaved: false,
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},
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cost: {
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input: 0.001,
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output: 0.002,
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cache: { read: 0.0001, write: 0.0002 },
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},
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limit: {
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context: 200_000,
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output: 64_000,
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},
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status: "active",
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options: {},
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headers: {},
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release_date: "2024-01-01",
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...overrides,
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}) as any
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test("uses sdk key for non-gateway models", () => {
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const model = createModel({
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providerID: "my-bedrock",
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api: {
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id: "anthropic.claude-sonnet-4",
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url: "https://bedrock.aws",
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npm: "@ai-sdk/amazon-bedrock",
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},
|
|
})
|
|
|
|
expect(ProviderTransform.providerOptions(model, { cachePoint: { type: "default" } })).toEqual({
|
|
bedrock: { cachePoint: { type: "default" } },
|
|
})
|
|
})
|
|
|
|
test("uses gateway model provider slug for gateway models", () => {
|
|
const model = createModel({
|
|
providerID: "vercel",
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4",
|
|
url: "https://ai-gateway.vercel.sh/v3/ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
|
|
expect(ProviderTransform.providerOptions(model, { thinking: { type: "enabled", budgetTokens: 12_000 } })).toEqual({
|
|
anthropic: { thinking: { type: "enabled", budgetTokens: 12_000 } },
|
|
})
|
|
})
|
|
|
|
test("falls back to gateway key when gateway api id is unscoped", () => {
|
|
const model = createModel({
|
|
id: "anthropic/claude-sonnet-4",
|
|
providerID: "vercel",
|
|
api: {
|
|
id: "claude-sonnet-4",
|
|
url: "https://ai-gateway.vercel.sh/v3/ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
|
|
expect(ProviderTransform.providerOptions(model, { thinking: { type: "enabled", budgetTokens: 12_000 } })).toEqual({
|
|
gateway: { thinking: { type: "enabled", budgetTokens: 12_000 } },
|
|
})
|
|
})
|
|
|
|
test("splits gateway routing options from provider-specific options", () => {
|
|
const model = createModel({
|
|
providerID: "vercel",
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4",
|
|
url: "https://ai-gateway.vercel.sh/v3/ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
|
|
expect(
|
|
ProviderTransform.providerOptions(model, {
|
|
gateway: { order: ["vertex", "anthropic"] },
|
|
thinking: { type: "enabled", budgetTokens: 12_000 },
|
|
}),
|
|
).toEqual({
|
|
gateway: { order: ["vertex", "anthropic"] },
|
|
anthropic: { thinking: { type: "enabled", budgetTokens: 12_000 } },
|
|
} as any)
|
|
})
|
|
|
|
test("falls back to gateway key when model id has no provider slug", () => {
|
|
const model = createModel({
|
|
id: "claude-sonnet-4",
|
|
providerID: "vercel",
|
|
api: {
|
|
id: "claude-sonnet-4",
|
|
url: "https://ai-gateway.vercel.sh/v3/ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
|
|
expect(ProviderTransform.providerOptions(model, { reasoningEffort: "high" })).toEqual({
|
|
gateway: { reasoningEffort: "high" },
|
|
})
|
|
})
|
|
|
|
test("maps amazon slug to bedrock for provider options", () => {
|
|
const model = createModel({
|
|
providerID: "vercel",
|
|
api: {
|
|
id: "amazon/nova-2-lite",
|
|
url: "https://ai-gateway.vercel.sh/v3/ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
|
|
expect(ProviderTransform.providerOptions(model, { reasoningConfig: { type: "enabled" } })).toEqual({
|
|
bedrock: { reasoningConfig: { type: "enabled" } },
|
|
})
|
|
})
|
|
|
|
test("uses groq slug for groq models", () => {
|
|
const model = createModel({
|
|
providerID: "vercel",
|
|
api: {
|
|
id: "groq/llama-3.3-70b-versatile",
|
|
url: "https://ai-gateway.vercel.sh/v3/ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
|
|
expect(ProviderTransform.providerOptions(model, { reasoningFormat: "parsed" })).toEqual({
|
|
groq: { reasoningFormat: "parsed" },
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.schema - gemini array items", () => {
|
|
test("adds missing items for array properties", () => {
|
|
const geminiModel = {
|
|
providerID: "google",
|
|
api: {
|
|
id: "gemini-3-pro",
|
|
},
|
|
} as any
|
|
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
nodes: { type: "array" },
|
|
edges: { type: "array", items: { type: "string" } },
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.nodes.items).toBeDefined()
|
|
expect(result.properties.edges.items.type).toBe("string")
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.schema - gemini nested array items", () => {
|
|
const geminiModel = {
|
|
providerID: "google",
|
|
api: {
|
|
id: "gemini-3-pro",
|
|
},
|
|
} as any
|
|
|
|
test("adds type to 2D array with empty inner items", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
values: {
|
|
type: "array",
|
|
items: {
|
|
type: "array",
|
|
items: {}, // Empty items object
|
|
},
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
// Inner items should have a default type
|
|
expect(result.properties.values.items.items.type).toBe("string")
|
|
})
|
|
|
|
test("adds items and type to 2D array with missing inner items", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
data: {
|
|
type: "array",
|
|
items: { type: "array" }, // No items at all
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.data.items.items).toBeDefined()
|
|
expect(result.properties.data.items.items.type).toBe("string")
|
|
})
|
|
|
|
test("handles deeply nested arrays (3D)", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
matrix: {
|
|
type: "array",
|
|
items: {
|
|
type: "array",
|
|
items: {
|
|
type: "array",
|
|
// No items
|
|
},
|
|
},
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.matrix.items.items.items).toBeDefined()
|
|
expect(result.properties.matrix.items.items.items.type).toBe("string")
|
|
})
|
|
|
|
test("preserves existing item types in nested arrays", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
numbers: {
|
|
type: "array",
|
|
items: {
|
|
type: "array",
|
|
items: { type: "number" }, // Has explicit type
|
|
},
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
// Should preserve the explicit type
|
|
expect(result.properties.numbers.items.items.type).toBe("number")
|
|
})
|
|
|
|
test("handles mixed nested structures with objects and arrays", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
spreadsheetData: {
|
|
type: "object",
|
|
properties: {
|
|
rows: {
|
|
type: "array",
|
|
items: {
|
|
type: "array",
|
|
items: {}, // Empty items
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.spreadsheetData.properties.rows.items.items.type).toBe("string")
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.schema - gemini combiner nodes", () => {
|
|
const geminiModel = {
|
|
providerID: "google",
|
|
api: {
|
|
id: "gemini-3-pro",
|
|
},
|
|
} as any
|
|
|
|
const walk = (node: any, cb: (node: any, path: (string | number)[]) => void, path: (string | number)[] = []) => {
|
|
if (node === null || typeof node !== "object") {
|
|
return
|
|
}
|
|
if (Array.isArray(node)) {
|
|
node.forEach((item, i) => walk(item, cb, [...path, i]))
|
|
return
|
|
}
|
|
cb(node, path)
|
|
Object.entries(node).forEach(([key, value]) => walk(value, cb, [...path, key]))
|
|
}
|
|
|
|
test("keeps edits.items.anyOf without adding type", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
edits: {
|
|
type: "array",
|
|
items: {
|
|
anyOf: [
|
|
{
|
|
type: "object",
|
|
properties: {
|
|
old_string: { type: "string" },
|
|
new_string: { type: "string" },
|
|
},
|
|
required: ["old_string", "new_string"],
|
|
},
|
|
{
|
|
type: "object",
|
|
properties: {
|
|
old_string: { type: "string" },
|
|
new_string: { type: "string" },
|
|
replace_all: { type: "boolean" },
|
|
},
|
|
required: ["old_string", "new_string"],
|
|
},
|
|
],
|
|
},
|
|
},
|
|
},
|
|
required: ["edits"],
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(Array.isArray(result.properties.edits.items.anyOf)).toBe(true)
|
|
expect(result.properties.edits.items.type).toBeUndefined()
|
|
})
|
|
|
|
test("does not add sibling keys to combiner nodes during sanitize", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
edits: {
|
|
type: "array",
|
|
items: {
|
|
anyOf: [{ type: "string" }, { type: "number" }],
|
|
},
|
|
},
|
|
value: {
|
|
oneOf: [{ type: "string" }, { type: "boolean" }],
|
|
},
|
|
meta: {
|
|
allOf: [
|
|
{
|
|
type: "object",
|
|
properties: { a: { type: "string" } },
|
|
},
|
|
{
|
|
type: "object",
|
|
properties: { b: { type: "string" } },
|
|
},
|
|
],
|
|
},
|
|
},
|
|
} as any
|
|
const input = JSON.parse(JSON.stringify(schema))
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
walk(result, (node, path) => {
|
|
const hasCombiner = Array.isArray(node.anyOf) || Array.isArray(node.oneOf) || Array.isArray(node.allOf)
|
|
if (!hasCombiner) {
|
|
return
|
|
}
|
|
const before = path.reduce((acc: any, key) => acc?.[key], input)
|
|
const added = Object.keys(node).filter((key) => !(key in before))
|
|
expect(added).toEqual([])
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.schema - gemini non-object properties removal", () => {
|
|
const geminiModel = {
|
|
providerID: "google",
|
|
api: {
|
|
id: "gemini-3-pro",
|
|
},
|
|
} as any
|
|
|
|
test("removes properties from non-object types", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
data: {
|
|
type: "string",
|
|
properties: { invalid: { type: "string" } },
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.data.type).toBe("string")
|
|
expect(result.properties.data.properties).toBeUndefined()
|
|
})
|
|
|
|
test("removes required from non-object types", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
data: {
|
|
type: "array",
|
|
items: { type: "string" },
|
|
required: ["invalid"],
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.data.type).toBe("array")
|
|
expect(result.properties.data.required).toBeUndefined()
|
|
})
|
|
|
|
test("removes properties and required from nested non-object types", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
outer: {
|
|
type: "object",
|
|
properties: {
|
|
inner: {
|
|
type: "number",
|
|
properties: { bad: { type: "string" } },
|
|
required: ["bad"],
|
|
},
|
|
},
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.outer.properties.inner.type).toBe("number")
|
|
expect(result.properties.outer.properties.inner.properties).toBeUndefined()
|
|
expect(result.properties.outer.properties.inner.required).toBeUndefined()
|
|
})
|
|
|
|
test("keeps properties and required on object types", () => {
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
data: {
|
|
type: "object",
|
|
properties: { name: { type: "string" } },
|
|
required: ["name"],
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(geminiModel, schema) as any
|
|
|
|
expect(result.properties.data.type).toBe("object")
|
|
expect(result.properties.data.properties).toBeDefined()
|
|
expect(result.properties.data.required).toEqual(["name"])
|
|
})
|
|
|
|
test("does not affect non-gemini providers", () => {
|
|
const openaiModel = {
|
|
providerID: "openai",
|
|
api: {
|
|
id: "gpt-4",
|
|
},
|
|
} as any
|
|
|
|
const schema = {
|
|
type: "object",
|
|
properties: {
|
|
data: {
|
|
type: "string",
|
|
properties: { invalid: { type: "string" } },
|
|
},
|
|
},
|
|
} as any
|
|
|
|
const result = ProviderTransform.schema(openaiModel, schema) as any
|
|
|
|
expect(result.properties.data.properties).toBeDefined()
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - DeepSeek reasoning content", () => {
|
|
test("DeepSeek with tool calls includes reasoning_content in providerOptions", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "reasoning", text: "Let me think about this..." },
|
|
{
|
|
type: "tool-call",
|
|
toolCallId: "test",
|
|
toolName: "bash",
|
|
input: { command: "echo hello" },
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(
|
|
msgs,
|
|
{
|
|
id: ModelID.make("deepseek/deepseek-chat"),
|
|
providerID: ProviderID.make("deepseek"),
|
|
api: {
|
|
id: "deepseek-chat",
|
|
url: "https://api.deepseek.com",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
name: "DeepSeek Chat",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: true,
|
|
attachment: false,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: {
|
|
field: "reasoning_content",
|
|
},
|
|
},
|
|
cost: {
|
|
input: 0.001,
|
|
output: 0.002,
|
|
cache: { read: 0.0001, write: 0.0002 },
|
|
},
|
|
limit: {
|
|
context: 128000,
|
|
output: 8192,
|
|
},
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
release_date: "2023-04-01",
|
|
},
|
|
{},
|
|
)
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toEqual([
|
|
{
|
|
type: "tool-call",
|
|
toolCallId: "test",
|
|
toolName: "bash",
|
|
input: { command: "echo hello" },
|
|
},
|
|
])
|
|
expect(result[0].providerOptions?.openaiCompatible?.reasoning_content).toBe("Let me think about this...")
|
|
})
|
|
|
|
test("Non-DeepSeek providers leave reasoning content unchanged", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "reasoning", text: "Should not be processed" },
|
|
{ type: "text", text: "Answer" },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(
|
|
msgs,
|
|
{
|
|
id: ModelID.make("openai/gpt-4"),
|
|
providerID: ProviderID.make("openai"),
|
|
api: {
|
|
id: "gpt-4",
|
|
url: "https://api.openai.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
name: "GPT-4",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: false,
|
|
attachment: true,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: true, video: false, pdf: false },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: false,
|
|
},
|
|
cost: {
|
|
input: 0.03,
|
|
output: 0.06,
|
|
cache: { read: 0.001, write: 0.002 },
|
|
},
|
|
limit: {
|
|
context: 128000,
|
|
output: 4096,
|
|
},
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
release_date: "2023-04-01",
|
|
},
|
|
{},
|
|
)
|
|
|
|
expect(result[0].content).toEqual([
|
|
{ type: "reasoning", text: "Should not be processed" },
|
|
{ type: "text", text: "Answer" },
|
|
])
|
|
expect(result[0].providerOptions?.openaiCompatible?.reasoning_content).toBeUndefined()
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - empty image handling", () => {
|
|
const mockModel = {
|
|
id: "anthropic/claude-3-5-sonnet",
|
|
providerID: "anthropic",
|
|
api: {
|
|
id: "claude-3-5-sonnet-20241022",
|
|
url: "https://api.anthropic.com",
|
|
npm: "@ai-sdk/anthropic",
|
|
},
|
|
name: "Claude 3.5 Sonnet",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: false,
|
|
attachment: true,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: true, video: false, pdf: true },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: false,
|
|
},
|
|
cost: {
|
|
input: 0.003,
|
|
output: 0.015,
|
|
cache: { read: 0.0003, write: 0.00375 },
|
|
},
|
|
limit: {
|
|
context: 200000,
|
|
output: 8192,
|
|
},
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
} as any
|
|
|
|
test("should replace empty base64 image with error text", () => {
|
|
const msgs = [
|
|
{
|
|
role: "user",
|
|
content: [
|
|
{ type: "text", text: "What is in this image?" },
|
|
{ type: "image", image: "data:image/png;base64," },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, mockModel, {})
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toHaveLength(2)
|
|
expect(result[0].content[0]).toEqual({ type: "text", text: "What is in this image?" })
|
|
expect(result[0].content[1]).toEqual({
|
|
type: "text",
|
|
text: "ERROR: Image file is empty or corrupted. Please provide a valid image.",
|
|
})
|
|
})
|
|
|
|
test("should keep valid base64 images unchanged", () => {
|
|
const validBase64 =
|
|
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
|
|
const msgs = [
|
|
{
|
|
role: "user",
|
|
content: [
|
|
{ type: "text", text: "What is in this image?" },
|
|
{ type: "image", image: `data:image/png;base64,${validBase64}` },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, mockModel, {})
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toHaveLength(2)
|
|
expect(result[0].content[0]).toEqual({ type: "text", text: "What is in this image?" })
|
|
expect(result[0].content[1]).toEqual({ type: "image", image: `data:image/png;base64,${validBase64}` })
|
|
})
|
|
|
|
test("should handle mixed valid and empty images", () => {
|
|
const validBase64 =
|
|
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
|
|
const msgs = [
|
|
{
|
|
role: "user",
|
|
content: [
|
|
{ type: "text", text: "Compare these images" },
|
|
{ type: "image", image: `data:image/png;base64,${validBase64}` },
|
|
{ type: "image", image: "data:image/jpeg;base64," },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, mockModel, {})
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toHaveLength(3)
|
|
expect(result[0].content[0]).toEqual({ type: "text", text: "Compare these images" })
|
|
expect(result[0].content[1]).toEqual({ type: "image", image: `data:image/png;base64,${validBase64}` })
|
|
expect(result[0].content[2]).toEqual({
|
|
type: "text",
|
|
text: "ERROR: Image file is empty or corrupted. Please provide a valid image.",
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - anthropic empty content filtering", () => {
|
|
const anthropicModel = {
|
|
id: "anthropic/claude-3-5-sonnet",
|
|
providerID: "anthropic",
|
|
api: {
|
|
id: "claude-3-5-sonnet-20241022",
|
|
url: "https://api.anthropic.com",
|
|
npm: "@ai-sdk/anthropic",
|
|
},
|
|
name: "Claude 3.5 Sonnet",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: false,
|
|
attachment: true,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: true, video: false, pdf: true },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: false,
|
|
},
|
|
cost: {
|
|
input: 0.003,
|
|
output: 0.015,
|
|
cache: { read: 0.0003, write: 0.00375 },
|
|
},
|
|
limit: {
|
|
context: 200000,
|
|
output: 8192,
|
|
},
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
} as any
|
|
|
|
test("filters out messages with empty string content", () => {
|
|
const msgs = [
|
|
{ role: "user", content: "Hello" },
|
|
{ role: "assistant", content: "" },
|
|
{ role: "user", content: "World" },
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, anthropicModel, {})
|
|
|
|
expect(result).toHaveLength(2)
|
|
expect(result[0].content).toBe("Hello")
|
|
expect(result[1].content).toBe("World")
|
|
})
|
|
|
|
test("filters out empty text parts from array content", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "text", text: "" },
|
|
{ type: "text", text: "Hello" },
|
|
{ type: "text", text: "" },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, anthropicModel, {})
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toHaveLength(1)
|
|
expect(result[0].content[0]).toEqual({ type: "text", text: "Hello" })
|
|
})
|
|
|
|
test("filters out empty reasoning parts from array content", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "reasoning", text: "" },
|
|
{ type: "text", text: "Answer" },
|
|
{ type: "reasoning", text: "" },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, anthropicModel, {})
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toHaveLength(1)
|
|
expect(result[0].content[0]).toEqual({ type: "text", text: "Answer" })
|
|
})
|
|
|
|
test("removes entire message when all parts are empty", () => {
|
|
const msgs = [
|
|
{ role: "user", content: "Hello" },
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "text", text: "" },
|
|
{ type: "reasoning", text: "" },
|
|
],
|
|
},
|
|
{ role: "user", content: "World" },
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, anthropicModel, {})
|
|
|
|
expect(result).toHaveLength(2)
|
|
expect(result[0].content).toBe("Hello")
|
|
expect(result[1].content).toBe("World")
|
|
})
|
|
|
|
test("keeps non-text/reasoning parts even if text parts are empty", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "text", text: "" },
|
|
{ type: "tool-call", toolCallId: "123", toolName: "bash", input: { command: "ls" } },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, anthropicModel, {})
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toHaveLength(1)
|
|
expect(result[0].content[0]).toEqual({
|
|
type: "tool-call",
|
|
toolCallId: "123",
|
|
toolName: "bash",
|
|
input: { command: "ls" },
|
|
})
|
|
})
|
|
|
|
test("keeps messages with valid text alongside empty parts", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "reasoning", text: "Thinking..." },
|
|
{ type: "text", text: "" },
|
|
{ type: "text", text: "Result" },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, anthropicModel, {})
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content).toHaveLength(2)
|
|
expect(result[0].content[0]).toEqual({ type: "reasoning", text: "Thinking..." })
|
|
expect(result[0].content[1]).toEqual({ type: "text", text: "Result" })
|
|
})
|
|
|
|
test("filters empty content for bedrock provider", () => {
|
|
const bedrockModel = {
|
|
...anthropicModel,
|
|
id: "amazon-bedrock/anthropic.claude-opus-4-6",
|
|
providerID: "amazon-bedrock",
|
|
api: {
|
|
id: "anthropic.claude-opus-4-6",
|
|
url: "https://bedrock-runtime.us-east-1.amazonaws.com",
|
|
npm: "@ai-sdk/amazon-bedrock",
|
|
},
|
|
}
|
|
|
|
const msgs = [
|
|
{ role: "user", content: "Hello" },
|
|
{ role: "assistant", content: "" },
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "text", text: "" },
|
|
{ type: "text", text: "Answer" },
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, bedrockModel, {})
|
|
|
|
expect(result).toHaveLength(2)
|
|
expect(result[0].content).toBe("Hello")
|
|
expect(result[1].content).toHaveLength(1)
|
|
expect(result[1].content[0]).toEqual({ type: "text", text: "Answer" })
|
|
})
|
|
|
|
test("does not filter for non-anthropic providers", () => {
|
|
const openaiModel = {
|
|
...anthropicModel,
|
|
providerID: "openai",
|
|
api: {
|
|
id: "gpt-4",
|
|
url: "https://api.openai.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
}
|
|
|
|
const msgs = [
|
|
{ role: "assistant", content: "" },
|
|
{
|
|
role: "assistant",
|
|
content: [{ type: "text", text: "" }],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, openaiModel, {})
|
|
|
|
expect(result).toHaveLength(2)
|
|
expect(result[0].content).toBe("")
|
|
expect(result[1].content).toHaveLength(1)
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - strip openai metadata when store=false", () => {
|
|
const openaiModel = {
|
|
id: "openai/gpt-5",
|
|
providerID: "openai",
|
|
api: {
|
|
id: "gpt-5",
|
|
url: "https://api.openai.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
name: "GPT-5",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: true,
|
|
attachment: true,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: true, video: false, pdf: false },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: false,
|
|
},
|
|
cost: { input: 0.03, output: 0.06, cache: { read: 0.001, write: 0.002 } },
|
|
limit: { context: 128000, output: 4096 },
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
} as any
|
|
|
|
test("preserves itemId and reasoningEncryptedContent when store=false", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{
|
|
type: "reasoning",
|
|
text: "thinking...",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "rs_123",
|
|
reasoningEncryptedContent: "encrypted",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "msg_456",
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, openaiModel, { store: false }) as any[]
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("rs_123")
|
|
expect(result[0].content[1].providerOptions?.openai?.itemId).toBe("msg_456")
|
|
})
|
|
|
|
test("preserves itemId and reasoningEncryptedContent when store=false even when not openai", () => {
|
|
const zenModel = {
|
|
...openaiModel,
|
|
providerID: "zen",
|
|
}
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{
|
|
type: "reasoning",
|
|
text: "thinking...",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "rs_123",
|
|
reasoningEncryptedContent: "encrypted",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "msg_456",
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, zenModel, { store: false }) as any[]
|
|
|
|
expect(result).toHaveLength(1)
|
|
expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("rs_123")
|
|
expect(result[0].content[1].providerOptions?.openai?.itemId).toBe("msg_456")
|
|
})
|
|
|
|
test("preserves other openai options including itemId", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "msg_123",
|
|
otherOption: "value",
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, openaiModel, { store: false }) as any[]
|
|
|
|
expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
|
|
expect(result[0].content[0].providerOptions?.openai?.otherOption).toBe("value")
|
|
})
|
|
|
|
test("preserves metadata for openai package when store is true", () => {
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "msg_123",
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
// openai package preserves itemId regardless of store value
|
|
const result = ProviderTransform.message(msgs, openaiModel, { store: true }) as any[]
|
|
|
|
expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
|
|
})
|
|
|
|
test("preserves metadata for non-openai packages when store is false", () => {
|
|
const anthropicModel = {
|
|
...openaiModel,
|
|
providerID: "anthropic",
|
|
api: {
|
|
id: "claude-3",
|
|
url: "https://api.anthropic.com",
|
|
npm: "@ai-sdk/anthropic",
|
|
},
|
|
}
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "msg_123",
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
// store=false preserves metadata for non-openai packages
|
|
const result = ProviderTransform.message(msgs, anthropicModel, { store: false }) as any[]
|
|
|
|
expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
|
|
})
|
|
|
|
test("preserves metadata using providerID key when store is false", () => {
|
|
const opencodeModel = {
|
|
...openaiModel,
|
|
providerID: "opencode",
|
|
api: {
|
|
id: "opencode-test",
|
|
url: "https://api.opencode.ai",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
}
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
opencode: {
|
|
itemId: "msg_123",
|
|
otherOption: "value",
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, opencodeModel, { store: false }) as any[]
|
|
|
|
expect(result[0].content[0].providerOptions?.opencode?.itemId).toBe("msg_123")
|
|
expect(result[0].content[0].providerOptions?.opencode?.otherOption).toBe("value")
|
|
})
|
|
|
|
test("preserves itemId across all providerOptions keys", () => {
|
|
const opencodeModel = {
|
|
...openaiModel,
|
|
providerID: "opencode",
|
|
api: {
|
|
id: "opencode-test",
|
|
url: "https://api.opencode.ai",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
}
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
providerOptions: {
|
|
openai: { itemId: "msg_root" },
|
|
opencode: { itemId: "msg_opencode" },
|
|
extra: { itemId: "msg_extra" },
|
|
},
|
|
content: [
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
openai: { itemId: "msg_openai_part" },
|
|
opencode: { itemId: "msg_opencode_part" },
|
|
extra: { itemId: "msg_extra_part" },
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, opencodeModel, { store: false }) as any[]
|
|
|
|
expect(result[0].providerOptions?.openai?.itemId).toBe("msg_root")
|
|
expect(result[0].providerOptions?.opencode?.itemId).toBe("msg_opencode")
|
|
expect(result[0].providerOptions?.extra?.itemId).toBe("msg_extra")
|
|
expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_openai_part")
|
|
expect(result[0].content[0].providerOptions?.opencode?.itemId).toBe("msg_opencode_part")
|
|
expect(result[0].content[0].providerOptions?.extra?.itemId).toBe("msg_extra_part")
|
|
})
|
|
|
|
test("does not strip metadata for non-openai packages when store is not false", () => {
|
|
const anthropicModel = {
|
|
...openaiModel,
|
|
providerID: "anthropic",
|
|
api: {
|
|
id: "claude-3",
|
|
url: "https://api.anthropic.com",
|
|
npm: "@ai-sdk/anthropic",
|
|
},
|
|
}
|
|
const msgs = [
|
|
{
|
|
role: "assistant",
|
|
content: [
|
|
{
|
|
type: "text",
|
|
text: "Hello",
|
|
providerOptions: {
|
|
openai: {
|
|
itemId: "msg_123",
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, anthropicModel, {}) as any[]
|
|
|
|
expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - providerOptions key remapping", () => {
|
|
const createModel = (providerID: string, npm: string) =>
|
|
({
|
|
id: `${providerID}/test-model`,
|
|
providerID,
|
|
api: {
|
|
id: "test-model",
|
|
url: "https://api.test.com",
|
|
npm,
|
|
},
|
|
name: "Test Model",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: false,
|
|
attachment: true,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: true, video: false, pdf: true },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: false,
|
|
},
|
|
cost: { input: 0.001, output: 0.002, cache: { read: 0.0001, write: 0.0002 } },
|
|
limit: { context: 128000, output: 8192 },
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
}) as any
|
|
|
|
test("azure keeps 'azure' key and does not remap to 'openai'", () => {
|
|
const model = createModel("azure", "@ai-sdk/azure")
|
|
const msgs = [
|
|
{
|
|
role: "user",
|
|
content: "Hello",
|
|
providerOptions: {
|
|
azure: { someOption: "value" },
|
|
},
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, model, {})
|
|
|
|
expect(result[0].providerOptions?.azure).toEqual({ someOption: "value" })
|
|
expect(result[0].providerOptions?.openai).toBeUndefined()
|
|
})
|
|
|
|
test("copilot remaps providerID to 'copilot' key", () => {
|
|
const model = createModel("github-copilot", "@ai-sdk/github-copilot")
|
|
const msgs = [
|
|
{
|
|
role: "user",
|
|
content: "Hello",
|
|
providerOptions: {
|
|
copilot: { someOption: "value" },
|
|
},
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, model, {})
|
|
|
|
expect(result[0].providerOptions?.copilot).toEqual({ someOption: "value" })
|
|
expect(result[0].providerOptions?.["github-copilot"]).toBeUndefined()
|
|
})
|
|
|
|
test("bedrock remaps providerID to 'bedrock' key", () => {
|
|
const model = createModel("my-bedrock", "@ai-sdk/amazon-bedrock")
|
|
const msgs = [
|
|
{
|
|
role: "user",
|
|
content: "Hello",
|
|
providerOptions: {
|
|
"my-bedrock": { someOption: "value" },
|
|
},
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, model, {})
|
|
|
|
expect(result[0].providerOptions?.bedrock).toEqual({ someOption: "value" })
|
|
expect(result[0].providerOptions?.["my-bedrock"]).toBeUndefined()
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - claude w/bedrock custom inference profile", () => {
|
|
test("adds cachePoint", () => {
|
|
const model = {
|
|
id: "amazon-bedrock/custom-claude-sonnet-4.5",
|
|
providerID: "amazon-bedrock",
|
|
api: {
|
|
id: "arn:aws:bedrock:xxx:yyy:application-inference-profile/zzz",
|
|
url: "https://api.test.com",
|
|
npm: "@ai-sdk/amazon-bedrock",
|
|
},
|
|
name: "Custom inference profile",
|
|
capabilities: {},
|
|
options: {},
|
|
headers: {},
|
|
} as any
|
|
|
|
const msgs = [
|
|
{
|
|
role: "user",
|
|
content: "Hello",
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, model, {})
|
|
|
|
expect(result[0].providerOptions?.bedrock).toEqual(
|
|
expect.objectContaining({
|
|
cachePoint: {
|
|
type: "default",
|
|
},
|
|
}),
|
|
)
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - bedrock caching with non-bedrock providerID", () => {
|
|
test("applies cache options at message level when npm package is amazon-bedrock", () => {
|
|
const model = {
|
|
id: "aws/us.anthropic.claude-opus-4-6-v1",
|
|
providerID: "aws",
|
|
api: {
|
|
id: "us.anthropic.claude-opus-4-6-v1",
|
|
url: "https://bedrock-runtime.us-east-1.amazonaws.com",
|
|
npm: "@ai-sdk/amazon-bedrock",
|
|
},
|
|
name: "Claude Opus 4.6",
|
|
capabilities: {},
|
|
options: {},
|
|
headers: {},
|
|
} as any
|
|
|
|
const msgs = [
|
|
{
|
|
role: "system",
|
|
content: [{ type: "text", text: "You are a helpful assistant" }],
|
|
},
|
|
{
|
|
role: "user",
|
|
content: [{ type: "text", text: "Hello" }],
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, model, {}) as any[]
|
|
|
|
// Cache should be at the message level and not the content-part level
|
|
expect(result[0].providerOptions?.bedrock).toEqual({
|
|
cachePoint: { type: "default" },
|
|
})
|
|
expect(result[0].content[0].providerOptions?.bedrock).toBeUndefined()
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.message - cache control on gateway", () => {
|
|
const createModel = (overrides: Partial<any> = {}) =>
|
|
({
|
|
id: "anthropic/claude-sonnet-4",
|
|
providerID: "vercel",
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4",
|
|
url: "https://ai-gateway.vercel.sh/v3/ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
name: "Claude Sonnet 4",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: true,
|
|
attachment: true,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: true, video: false, pdf: true },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: false,
|
|
},
|
|
cost: { input: 0.001, output: 0.002, cache: { read: 0.0001, write: 0.0002 } },
|
|
limit: { context: 200_000, output: 8192 },
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
...overrides,
|
|
}) as any
|
|
|
|
test("gateway does not set cache control for anthropic models", () => {
|
|
const model = createModel()
|
|
const msgs = [
|
|
{
|
|
role: "system",
|
|
content: [{ type: "text", text: "You are a helpful assistant" }],
|
|
},
|
|
{
|
|
role: "user",
|
|
content: "Hello",
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, model, {}) as any[]
|
|
|
|
expect(result[0].content[0].providerOptions).toBeUndefined()
|
|
expect(result[0].providerOptions).toBeUndefined()
|
|
})
|
|
|
|
test("non-gateway anthropic keeps existing cache control behavior", () => {
|
|
const model = createModel({
|
|
providerID: "anthropic",
|
|
api: {
|
|
id: "claude-sonnet-4",
|
|
url: "https://api.anthropic.com",
|
|
npm: "@ai-sdk/anthropic",
|
|
},
|
|
})
|
|
const msgs = [
|
|
{
|
|
role: "system",
|
|
content: "You are a helpful assistant",
|
|
},
|
|
{
|
|
role: "user",
|
|
content: "Hello",
|
|
},
|
|
] as any[]
|
|
|
|
const result = ProviderTransform.message(msgs, model, {}) as any[]
|
|
|
|
expect(result[0].providerOptions).toEqual({
|
|
anthropic: {
|
|
cacheControl: {
|
|
type: "ephemeral",
|
|
},
|
|
},
|
|
openrouter: {
|
|
cacheControl: {
|
|
type: "ephemeral",
|
|
},
|
|
},
|
|
bedrock: {
|
|
cachePoint: {
|
|
type: "default",
|
|
},
|
|
},
|
|
openaiCompatible: {
|
|
cache_control: {
|
|
type: "ephemeral",
|
|
},
|
|
},
|
|
copilot: {
|
|
copilot_cache_control: {
|
|
type: "ephemeral",
|
|
},
|
|
},
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("ProviderTransform.variants", () => {
|
|
const createMockModel = (overrides: Partial<any> = {}): any => ({
|
|
id: "test/test-model",
|
|
providerID: "test",
|
|
api: {
|
|
id: "test-model",
|
|
url: "https://api.test.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
name: "Test Model",
|
|
capabilities: {
|
|
temperature: true,
|
|
reasoning: true,
|
|
attachment: true,
|
|
toolcall: true,
|
|
input: { text: true, audio: false, image: true, video: false, pdf: false },
|
|
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
|
interleaved: false,
|
|
},
|
|
cost: {
|
|
input: 0.001,
|
|
output: 0.002,
|
|
cache: { read: 0.0001, write: 0.0002 },
|
|
},
|
|
limit: {
|
|
context: 200_000,
|
|
output: 64_000,
|
|
},
|
|
status: "active",
|
|
options: {},
|
|
headers: {},
|
|
release_date: "2024-01-01",
|
|
...overrides,
|
|
})
|
|
|
|
test("returns empty object when model has no reasoning capabilities", () => {
|
|
const model = createMockModel({
|
|
capabilities: { reasoning: false },
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("deepseek returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "deepseek/deepseek-chat",
|
|
providerID: "deepseek",
|
|
api: {
|
|
id: "deepseek-chat",
|
|
url: "https://api.deepseek.com",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("minimax returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "minimax/minimax-model",
|
|
providerID: "minimax",
|
|
api: {
|
|
id: "minimax-model",
|
|
url: "https://api.minimax.com",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("glm returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "glm/glm-4",
|
|
providerID: "glm",
|
|
api: {
|
|
id: "glm-4",
|
|
url: "https://api.glm.com",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
})
|
|
|
|
test("mistral returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "mistral/mistral-large",
|
|
providerID: "mistral",
|
|
api: {
|
|
id: "mistral-large-latest",
|
|
url: "https://api.mistral.com",
|
|
npm: "@ai-sdk/mistral",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
describe("@openrouter/ai-sdk-provider", () => {
|
|
test("returns empty object for non-qualifying models", () => {
|
|
const model = createMockModel({
|
|
id: "openrouter/test-model",
|
|
providerID: "openrouter",
|
|
api: {
|
|
id: "test-model",
|
|
url: "https://openrouter.ai",
|
|
npm: "@openrouter/ai-sdk-provider",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("gpt models return OPENAI_EFFORTS with reasoning", () => {
|
|
const model = createMockModel({
|
|
id: "openrouter/gpt-4",
|
|
providerID: "openrouter",
|
|
api: {
|
|
id: "gpt-4",
|
|
url: "https://openrouter.ai",
|
|
npm: "@openrouter/ai-sdk-provider",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
expect(result.low).toEqual({ reasoning: { effort: "low" } })
|
|
expect(result.high).toEqual({ reasoning: { effort: "high" } })
|
|
})
|
|
|
|
test("gemini-3 returns OPENAI_EFFORTS with reasoning", () => {
|
|
const model = createMockModel({
|
|
id: "openrouter/gemini-3-5-pro",
|
|
providerID: "openrouter",
|
|
api: {
|
|
id: "gemini-3-5-pro",
|
|
url: "https://openrouter.ai",
|
|
npm: "@openrouter/ai-sdk-provider",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
})
|
|
|
|
// kilocode_change start
|
|
test("mercury-2 returns OPENAI_EFFORTS with reasoning", () => {
|
|
const model = createMockModel({
|
|
id: "openrouter/inception/mercury-2",
|
|
providerID: "openrouter",
|
|
api: {
|
|
id: "inception/mercury-2",
|
|
url: "https://openrouter.ai",
|
|
npm: "@openrouter/ai-sdk-provider",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
expect(result.low).toEqual({ reasoning: { effort: "low" } })
|
|
expect(result.high).toEqual({ reasoning: { effort: "high" } })
|
|
})
|
|
// kilocode_change end
|
|
|
|
test("grok-4 returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "openrouter/grok-4",
|
|
providerID: "openrouter",
|
|
api: {
|
|
id: "grok-4",
|
|
url: "https://openrouter.ai",
|
|
npm: "@openrouter/ai-sdk-provider",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("grok-3-mini returns low and high with reasoning", () => {
|
|
const model = createMockModel({
|
|
id: "openrouter/grok-3-mini",
|
|
providerID: "openrouter",
|
|
api: {
|
|
id: "grok-3-mini",
|
|
url: "https://openrouter.ai",
|
|
npm: "@openrouter/ai-sdk-provider",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "high"])
|
|
expect(result.low).toEqual({ reasoning: { effort: "low" } })
|
|
expect(result.high).toEqual({ reasoning: { effort: "high" } })
|
|
})
|
|
})
|
|
|
|
// kilocode_change start
|
|
describe("@kilocode/kilo-gateway", () => {
|
|
test("claude models return empty variants (reasoning disabled)", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/anthropic/claude-sonnet-4",
|
|
providerID: "kilo",
|
|
capabilities: { reasoning: false },
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual([])
|
|
})
|
|
|
|
test("anthropic models in api.id return empty variants (reasoning disabled)", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/anthropic/claude-opus-4",
|
|
providerID: "kilo",
|
|
capabilities: { reasoning: false },
|
|
api: {
|
|
id: "anthropic/claude-opus-4",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual([])
|
|
})
|
|
|
|
test("gpt models return OPENAI_EFFORTS with reasoning", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/openai/gpt-5",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "openai/gpt-5",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
expect(result.low).toEqual({ reasoning: { effort: "low" } })
|
|
})
|
|
|
|
test("gemini-3 models return OPENAI_EFFORTS with reasoning and encrypted content", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/google/gemini-3-pro",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "google/gemini-3-pro",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
})
|
|
|
|
test("non-qualifying models return empty object", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/meta/llama-4",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "meta/llama-4",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("grok-3-mini returns low and high with reasoning", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/x-ai/grok-3-mini",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "x-ai/grok-3-mini",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "high"])
|
|
expect(result.low).toEqual({ reasoning: { effort: "low" } })
|
|
expect(result.high).toEqual({ reasoning: { effort: "high" } })
|
|
})
|
|
|
|
test("codex models return OPENAI_EFFORTS with object-based reasoning format", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/openai/gpt-5.2-codex",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "openai/gpt-5.2-codex",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
expect(result.low).toEqual({ reasoning: { effort: "low" } })
|
|
expect(result.high).toEqual({ reasoning: { effort: "high" } })
|
|
expect(result.xhigh).toEqual({ reasoning: { effort: "xhigh" } })
|
|
})
|
|
|
|
// kilocode_change start
|
|
test("mercury-2 uses server-provided variants from kilo gateway", () => {
|
|
const serverVariants = {
|
|
low: { reasoningEffort: "low" },
|
|
medium: { reasoningEffort: "medium" },
|
|
high: { reasoningEffort: "high" },
|
|
}
|
|
const model = createMockModel({
|
|
id: "kilo/inception/mercury-2",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "inception/mercury-2",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
variants: serverVariants,
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual(serverVariants)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
})
|
|
// kilocode_change end
|
|
})
|
|
// kilocode_change end
|
|
|
|
describe("@ai-sdk/gateway", () => {
|
|
test("anthropic sonnet 4.6 models return adaptive thinking options", () => {
|
|
const model = createMockModel({
|
|
id: "anthropic/claude-sonnet-4-6",
|
|
providerID: "gateway",
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4-6",
|
|
url: "https://gateway.ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "max"])
|
|
expect(result.medium).toEqual({
|
|
thinking: {
|
|
type: "adaptive",
|
|
},
|
|
effort: "medium",
|
|
})
|
|
})
|
|
|
|
test("anthropic sonnet 4.6 dot-format models return adaptive thinking options", () => {
|
|
const model = createMockModel({
|
|
id: "anthropic/claude-sonnet-4-6",
|
|
providerID: "gateway",
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4.6",
|
|
url: "https://gateway.ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "max"])
|
|
expect(result.medium).toEqual({
|
|
thinking: {
|
|
type: "adaptive",
|
|
},
|
|
effort: "medium",
|
|
})
|
|
})
|
|
|
|
test("anthropic opus 4.6 dot-format models return adaptive thinking options", () => {
|
|
const model = createMockModel({
|
|
id: "anthropic/claude-opus-4-6",
|
|
providerID: "gateway",
|
|
api: {
|
|
id: "anthropic/claude-opus-4.6",
|
|
url: "https://gateway.ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "max"])
|
|
expect(result.high).toEqual({
|
|
thinking: {
|
|
type: "adaptive",
|
|
},
|
|
effort: "high",
|
|
})
|
|
})
|
|
|
|
test("anthropic models return anthropic thinking options", () => {
|
|
const model = createMockModel({
|
|
id: "anthropic/claude-sonnet-4",
|
|
providerID: "gateway",
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4",
|
|
url: "https://gateway.ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["high", "max"])
|
|
expect(result.high).toEqual({
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 16000,
|
|
},
|
|
})
|
|
expect(result.max).toEqual({
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 31999,
|
|
},
|
|
})
|
|
})
|
|
|
|
test("returns OPENAI_EFFORTS with reasoningEffort", () => {
|
|
const model = createMockModel({
|
|
id: "gateway/gateway-model",
|
|
providerID: "gateway",
|
|
api: {
|
|
id: "gateway-model",
|
|
url: "https://gateway.ai",
|
|
npm: "@ai-sdk/gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/github-copilot", () => {
|
|
test("standard models return low, medium, high", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-4.5",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-4.5",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({
|
|
reasoningEffort: "low",
|
|
reasoningSummary: "auto",
|
|
include: ["reasoning.encrypted_content"],
|
|
})
|
|
})
|
|
|
|
test("gpt-5.1-codex-max includes xhigh", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5.1-codex-max",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-5.1-codex-max",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "xhigh"])
|
|
})
|
|
|
|
test("gpt-5.1-codex-mini does not include xhigh", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5.1-codex-mini",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-5.1-codex-mini",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
})
|
|
|
|
test("gpt-5.1-codex does not include xhigh", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5.1-codex",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-5.1-codex",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
})
|
|
|
|
test("gpt-5.2 includes xhigh", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5.2",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-5.2",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "xhigh"])
|
|
expect(result.xhigh).toEqual({
|
|
reasoningEffort: "xhigh",
|
|
reasoningSummary: "auto",
|
|
include: ["reasoning.encrypted_content"],
|
|
})
|
|
})
|
|
|
|
test("gpt-5.2-codex includes xhigh", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5.2-codex",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-5.2-codex",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "xhigh"])
|
|
})
|
|
|
|
test("gpt-5.3-codex includes xhigh", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5.3-codex",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-5.3-codex",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "xhigh"])
|
|
})
|
|
|
|
test("gpt-5.4 includes xhigh", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5.4",
|
|
release_date: "2026-03-05",
|
|
providerID: "github-copilot",
|
|
api: {
|
|
id: "gpt-5.4",
|
|
url: "https://api.githubcopilot.com",
|
|
npm: "@ai-sdk/github-copilot",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "xhigh"])
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/cerebras", () => {
|
|
test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
|
|
const model = createMockModel({
|
|
id: "cerebras/llama-4",
|
|
providerID: "cerebras",
|
|
api: {
|
|
id: "llama-4-sc",
|
|
url: "https://api.cerebras.ai",
|
|
npm: "@ai-sdk/cerebras",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/togetherai", () => {
|
|
test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
|
|
const model = createMockModel({
|
|
id: "togetherai/llama-4",
|
|
providerID: "togetherai",
|
|
api: {
|
|
id: "llama-4-sc",
|
|
url: "https://api.togetherai.com",
|
|
npm: "@ai-sdk/togetherai",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/xai", () => {
|
|
test("grok-3 returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "xai/grok-3",
|
|
providerID: "xai",
|
|
api: {
|
|
id: "grok-3",
|
|
url: "https://api.x.ai",
|
|
npm: "@ai-sdk/xai",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("grok-3-mini returns low and high with reasoningEffort", () => {
|
|
const model = createMockModel({
|
|
id: "xai/grok-3-mini",
|
|
providerID: "xai",
|
|
api: {
|
|
id: "grok-3-mini",
|
|
url: "https://api.x.ai",
|
|
npm: "@ai-sdk/xai",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/deepinfra", () => {
|
|
test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
|
|
const model = createMockModel({
|
|
id: "deepinfra/llama-4",
|
|
providerID: "deepinfra",
|
|
api: {
|
|
id: "llama-4-sc",
|
|
url: "https://api.deepinfra.com",
|
|
npm: "@ai-sdk/deepinfra",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/openai-compatible", () => {
|
|
test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
|
|
const model = createMockModel({
|
|
id: "custom-provider/custom-model",
|
|
providerID: "custom-provider",
|
|
api: {
|
|
id: "custom-model",
|
|
url: "https://api.custom.com",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
|
|
// kilocode_change start
|
|
test("mercury-2 returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
|
|
const model = createMockModel({
|
|
id: "inception/mercury-2",
|
|
providerID: "inception",
|
|
api: {
|
|
id: "mercury-2",
|
|
url: "https://api.inceptionlabs.ai",
|
|
npm: "@ai-sdk/openai-compatible",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
// kilocode_change end
|
|
})
|
|
|
|
describe("@ai-sdk/azure", () => {
|
|
test("o1-mini returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "o1-mini",
|
|
providerID: "azure",
|
|
api: {
|
|
id: "o1-mini",
|
|
url: "https://azure.com",
|
|
npm: "@ai-sdk/azure",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("standard azure models return custom efforts with reasoningSummary", () => {
|
|
const model = createMockModel({
|
|
id: "o1",
|
|
providerID: "azure",
|
|
api: {
|
|
id: "o1",
|
|
url: "https://azure.com",
|
|
npm: "@ai-sdk/azure",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({
|
|
reasoningEffort: "low",
|
|
reasoningSummary: "auto",
|
|
include: ["reasoning.encrypted_content"],
|
|
})
|
|
})
|
|
|
|
test("gpt-5 adds minimal effort", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5",
|
|
providerID: "azure",
|
|
api: {
|
|
id: "gpt-5",
|
|
url: "https://azure.com",
|
|
npm: "@ai-sdk/azure",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["minimal", "low", "medium", "high"])
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/openai", () => {
|
|
test("gpt-5-pro returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5-pro",
|
|
providerID: "openai",
|
|
api: {
|
|
id: "gpt-5-pro",
|
|
url: "https://api.openai.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("standard openai models return custom efforts with reasoningSummary", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5",
|
|
providerID: "openai",
|
|
api: {
|
|
id: "gpt-5",
|
|
url: "https://api.openai.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
release_date: "2024-06-01",
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["minimal", "low", "medium", "high"])
|
|
expect(result.low).toEqual({
|
|
reasoningEffort: "low",
|
|
reasoningSummary: "auto",
|
|
include: ["reasoning.encrypted_content"],
|
|
})
|
|
})
|
|
|
|
test("models after 2025-11-13 include 'none' effort", () => {
|
|
const model = createMockModel({
|
|
id: "gpt-5-nano",
|
|
providerID: "openai",
|
|
api: {
|
|
id: "gpt-5-nano",
|
|
url: "https://api.openai.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
release_date: "2025-11-14",
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high"])
|
|
})
|
|
|
|
test("models after 2025-12-04 include 'xhigh' effort", () => {
|
|
const model = createMockModel({
|
|
id: "openai/gpt-5-chat",
|
|
providerID: "openai",
|
|
api: {
|
|
id: "gpt-5-chat",
|
|
url: "https://api.openai.com",
|
|
npm: "@ai-sdk/openai",
|
|
},
|
|
release_date: "2025-12-05",
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/anthropic", () => {
|
|
test("sonnet 4.6 returns adaptive thinking options", () => {
|
|
const model = createMockModel({
|
|
id: "anthropic/claude-sonnet-4-6",
|
|
providerID: "anthropic",
|
|
api: {
|
|
id: "claude-sonnet-4-6",
|
|
url: "https://api.anthropic.com",
|
|
npm: "@ai-sdk/anthropic",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "max"])
|
|
expect(result.high).toEqual({
|
|
thinking: {
|
|
type: "adaptive",
|
|
},
|
|
effort: "high",
|
|
})
|
|
})
|
|
|
|
test("returns high and max with thinking config", () => {
|
|
const model = createMockModel({
|
|
id: "anthropic/claude-4",
|
|
providerID: "anthropic",
|
|
api: {
|
|
id: "claude-4",
|
|
url: "https://api.anthropic.com",
|
|
npm: "@ai-sdk/anthropic",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["high", "max"])
|
|
expect(result.high).toEqual({
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 16000,
|
|
},
|
|
})
|
|
expect(result.max).toEqual({
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 31999,
|
|
},
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/amazon-bedrock", () => {
|
|
test("anthropic sonnet 4.6 returns adaptive reasoning options", () => {
|
|
const model = createMockModel({
|
|
id: "bedrock/anthropic-claude-sonnet-4-6",
|
|
providerID: "bedrock",
|
|
api: {
|
|
id: "anthropic.claude-sonnet-4-6",
|
|
url: "https://bedrock.amazonaws.com",
|
|
npm: "@ai-sdk/amazon-bedrock",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "max"])
|
|
expect(result.max).toEqual({
|
|
reasoningConfig: {
|
|
type: "adaptive",
|
|
maxReasoningEffort: "max",
|
|
},
|
|
})
|
|
})
|
|
|
|
test("returns WIDELY_SUPPORTED_EFFORTS with reasoningConfig", () => {
|
|
const model = createMockModel({
|
|
id: "bedrock/llama-4",
|
|
providerID: "bedrock",
|
|
api: {
|
|
id: "llama-4-sc",
|
|
url: "https://bedrock.amazonaws.com",
|
|
npm: "@ai-sdk/amazon-bedrock",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({
|
|
reasoningConfig: {
|
|
type: "enabled",
|
|
maxReasoningEffort: "low",
|
|
},
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/google", () => {
|
|
test("gemini-2.5 returns high and max with thinkingConfig and thinkingBudget", () => {
|
|
const model = createMockModel({
|
|
id: "google/gemini-2.5-pro",
|
|
providerID: "google",
|
|
api: {
|
|
id: "gemini-2.5-pro",
|
|
url: "https://generativelanguage.googleapis.com",
|
|
npm: "@ai-sdk/google",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["high", "max"])
|
|
expect(result.high).toEqual({
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingBudget: 16000,
|
|
},
|
|
})
|
|
expect(result.max).toEqual({
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingBudget: 24576,
|
|
},
|
|
})
|
|
})
|
|
|
|
test("other gemini models return low and high with thinkingLevel", () => {
|
|
const model = createMockModel({
|
|
id: "google/gemini-2.0-pro",
|
|
providerID: "google",
|
|
api: {
|
|
id: "gemini-2.0-pro",
|
|
url: "https://generativelanguage.googleapis.com",
|
|
npm: "@ai-sdk/google",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "high"])
|
|
expect(result.low).toEqual({
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingLevel: "low",
|
|
},
|
|
})
|
|
expect(result.high).toEqual({
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingLevel: "high",
|
|
},
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/google-vertex", () => {
|
|
test("gemini-2.5 returns high and max with thinkingConfig and thinkingBudget", () => {
|
|
const model = createMockModel({
|
|
id: "google-vertex/gemini-2.5-pro",
|
|
providerID: "google-vertex",
|
|
api: {
|
|
id: "gemini-2.5-pro",
|
|
url: "https://vertexai.googleapis.com",
|
|
npm: "@ai-sdk/google-vertex",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["high", "max"])
|
|
})
|
|
|
|
test("other vertex models return low and high with thinkingLevel", () => {
|
|
const model = createMockModel({
|
|
id: "google-vertex/gemini-2.0-pro",
|
|
providerID: "google-vertex",
|
|
api: {
|
|
id: "gemini-2.0-pro",
|
|
url: "https://vertexai.googleapis.com",
|
|
npm: "@ai-sdk/google-vertex",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "high"])
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/cohere", () => {
|
|
test("returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "cohere/command-r",
|
|
providerID: "cohere",
|
|
api: {
|
|
id: "command-r",
|
|
url: "https://api.cohere.com",
|
|
npm: "@ai-sdk/cohere",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/groq", () => {
|
|
test("returns none and WIDELY_SUPPORTED_EFFORTS with thinkingLevel", () => {
|
|
const model = createMockModel({
|
|
id: "groq/llama-4",
|
|
providerID: "groq",
|
|
api: {
|
|
id: "llama-4-sc",
|
|
url: "https://api.groq.com",
|
|
npm: "@ai-sdk/groq",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "low", "medium", "high"])
|
|
expect(result.none).toEqual({
|
|
reasoningEffort: "none",
|
|
})
|
|
expect(result.low).toEqual({
|
|
reasoningEffort: "low",
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/perplexity", () => {
|
|
test("returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "perplexity/sonar-plus",
|
|
providerID: "perplexity",
|
|
api: {
|
|
id: "sonar-plus",
|
|
url: "https://api.perplexity.ai",
|
|
npm: "@ai-sdk/perplexity",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
})
|
|
|
|
describe("@jerome-benoit/sap-ai-provider-v2", () => {
|
|
test("anthropic models return thinking variants", () => {
|
|
const model = createMockModel({
|
|
id: "sap-ai-core/anthropic--claude-sonnet-4",
|
|
providerID: "sap-ai-core",
|
|
api: {
|
|
id: "anthropic--claude-sonnet-4",
|
|
url: "https://api.ai.sap",
|
|
npm: "@jerome-benoit/sap-ai-provider-v2",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["high", "max"])
|
|
expect(result.high).toEqual({
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 16000,
|
|
},
|
|
})
|
|
expect(result.max).toEqual({
|
|
thinking: {
|
|
type: "enabled",
|
|
budgetTokens: 31999,
|
|
},
|
|
})
|
|
})
|
|
|
|
test("anthropic 4.6 models return adaptive thinking variants", () => {
|
|
const model = createMockModel({
|
|
id: "sap-ai-core/anthropic--claude-sonnet-4-6",
|
|
providerID: "sap-ai-core",
|
|
api: {
|
|
id: "anthropic--claude-sonnet-4-6",
|
|
url: "https://api.ai.sap",
|
|
npm: "@jerome-benoit/sap-ai-provider-v2",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high", "max"])
|
|
expect(result.low).toEqual({
|
|
thinking: {
|
|
type: "adaptive",
|
|
},
|
|
effort: "low",
|
|
})
|
|
expect(result.max).toEqual({
|
|
thinking: {
|
|
type: "adaptive",
|
|
},
|
|
effort: "max",
|
|
})
|
|
})
|
|
|
|
test("gemini 2.5 models return thinkingConfig variants", () => {
|
|
const model = createMockModel({
|
|
id: "sap-ai-core/gcp--gemini-2.5-pro",
|
|
providerID: "sap-ai-core",
|
|
api: {
|
|
id: "gcp--gemini-2.5-pro",
|
|
url: "https://api.ai.sap",
|
|
npm: "@jerome-benoit/sap-ai-provider-v2",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["high", "max"])
|
|
expect(result.high).toEqual({
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingBudget: 16000,
|
|
},
|
|
})
|
|
expect(result.max).toEqual({
|
|
thinkingConfig: {
|
|
includeThoughts: true,
|
|
thinkingBudget: 24576,
|
|
},
|
|
})
|
|
})
|
|
|
|
test("gpt models return reasoningEffort variants", () => {
|
|
const model = createMockModel({
|
|
id: "sap-ai-core/azure-openai--gpt-4o",
|
|
providerID: "sap-ai-core",
|
|
api: {
|
|
id: "azure-openai--gpt-4o",
|
|
url: "https://api.ai.sap",
|
|
npm: "@jerome-benoit/sap-ai-provider-v2",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
|
|
test("o-series models return reasoningEffort variants", () => {
|
|
const model = createMockModel({
|
|
id: "sap-ai-core/azure-openai--o3-mini",
|
|
providerID: "sap-ai-core",
|
|
api: {
|
|
id: "azure-openai--o3-mini",
|
|
url: "https://api.ai.sap",
|
|
npm: "@jerome-benoit/sap-ai-provider-v2",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["low", "medium", "high"])
|
|
expect(result.low).toEqual({ reasoningEffort: "low" })
|
|
expect(result.high).toEqual({ reasoningEffort: "high" })
|
|
})
|
|
|
|
test("sonar models return empty object", () => {
|
|
const model = createMockModel({
|
|
id: "sap-ai-core/perplexity--sonar-pro",
|
|
providerID: "sap-ai-core",
|
|
api: {
|
|
id: "perplexity--sonar-pro",
|
|
url: "https://api.ai.sap",
|
|
npm: "@jerome-benoit/sap-ai-provider-v2",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
|
|
test("mistral models return empty object", () => {
|
|
const model = createMockModel({
|
|
id: "sap-ai-core/mistral--mistral-large",
|
|
providerID: "sap-ai-core",
|
|
api: {
|
|
id: "mistral--mistral-large",
|
|
url: "https://api.ai.sap",
|
|
npm: "@jerome-benoit/sap-ai-provider-v2",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
})
|
|
|
|
// kilocode_change start
|
|
describe("ProviderTransform.smallOptions", () => {
|
|
describe("@kilocode/kilo-gateway", () => {
|
|
test("claude models return reasoningEffort minimal", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/anthropic/claude-sonnet-4",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "anthropic/claude-sonnet-4",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.smallOptions(model)
|
|
expect(result).toEqual({ reasoningEffort: "minimal" })
|
|
})
|
|
|
|
test("non-claude models use reasoningEffort format", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/openai/gpt-4",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "openai/gpt-4",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.smallOptions(model)
|
|
expect(result).toEqual({ reasoningEffort: "minimal" })
|
|
})
|
|
|
|
test("google models disable reasoning", () => {
|
|
const model = createMockModel({
|
|
id: "kilo/google/gemini-2.0-flash",
|
|
providerID: "kilo",
|
|
api: {
|
|
id: "google/gemini-2.0-flash",
|
|
url: "https://gateway.kilo.ai",
|
|
npm: "@kilocode/kilo-gateway",
|
|
},
|
|
})
|
|
const result = ProviderTransform.smallOptions(model)
|
|
expect(result).toEqual({ reasoning: { enabled: false } })
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/groq", () => {
|
|
test("returns none and WIDELY_SUPPORTED_EFFORTS with thinkingLevel", () => {
|
|
const model = createMockModel({
|
|
id: "groq/llama-4",
|
|
providerID: "groq",
|
|
api: {
|
|
id: "llama-4-sc",
|
|
url: "https://api.groq.com",
|
|
npm: "@ai-sdk/groq",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(Object.keys(result)).toEqual(["none", "low", "medium", "high"])
|
|
expect(result.none).toEqual({
|
|
reasoningEffort: "none",
|
|
})
|
|
expect(result.low).toEqual({
|
|
reasoningEffort: "low",
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("@ai-sdk/perplexity", () => {
|
|
test("returns empty object", () => {
|
|
const model = createMockModel({
|
|
id: "perplexity/sonar-plus",
|
|
providerID: "perplexity",
|
|
api: {
|
|
id: "sonar-plus",
|
|
url: "https://api.perplexity.ai",
|
|
npm: "@ai-sdk/perplexity",
|
|
},
|
|
})
|
|
const result = ProviderTransform.variants(model)
|
|
expect(result).toEqual({})
|
|
})
|
|
})
|
|
})
|
|
// kilocode_change end
|