Add Google Vertex AI provider (#1163)
# Summary
* Adds first-class **Google Vertex AI provider** using
`@ai-sdk/google-vertex`.
* Supports **Gemini 2.5** models and partner **MaaS (Model Garden)**
models via full publisher IDs.
* New **Vertex-specific settings UI** for Project, Location, and Service
Account JSON.
* Implements a **“thinking” toggle** for Gemini 2.5 Flash
* Pro: always on
* Flash: toggleable
* Flash Lite: none
* Fixes *“AI not found”* for Vertex built-ins by mapping to
`publishers/google` paths.
* Hardens **cross-platform file ops** and ensures all tests pass.
---
# What’s New
### Vertex AI Provider
* Uses `@ai-sdk/google-vertex` with `googleAuthOptions.credentials` from
pasted Service Account JSON.
* Configurable **project** and **location**.
* Base URL → `/projects/{project}/locations/{location}`
* Built-ins: `publishers/google/models/<id>`
* Partner MaaS: `publishers/<partner>/models/...`
### Built-in Vertex Models
* `gemini-2.5-pro`
* `gemini-2.5-flash`
* `gemini-2.5-flash-lite`
### Thinking Behavior
* Vertex + Google marked as thinking-capable.
* Pro: always thinking
* Flash: toggle in UI
* Flash Lite: none
### Vertex Settings UI
* New **Google Vertex AI panel** for Project ID, Location, Service
Account JSON.
* Keys encrypted like other secrets.
---
# Fixes
* **Model resolution:** built-ins auto-map to
`publishers/google/models/<id>`.
* **Partner MaaS support:** full publisher IDs work directly (e.g.
DeepSeek).
* **Cross-platform paths:** normalize file ops with `toPosixPath`,
preserve `safeJoin` semantics.
---
# Why This Is Better
* Users can select **Vertex alongside other providers**.
* **More models** available through Model Garden.
* **Dedicated setup UI** reduces misconfig.
* **Thinking toggle** gives control over cost vs. reasoning depth.
---
# Files Changed
* **Provider & Models**: `language_model_helpers.ts`,
`get_model_client.ts`
* **Streaming**: `chat_stream_handlers.ts`
* **Schemas & Encryption**: `schemas.ts`, `settings.ts`
* **Settings UI**: `VertexConfiguration.tsx`, `ApiKeyConfiguration.tsx`
* **Models UI**: `ModelsSection.tsx` (Flash toggle)
* **Setup Detection**: `useLanguageModelProviders.ts`
* **Path Utils**: `path_utils.ts`, `response_processor.ts`
* **Deps**: `package.json` → `@ai-sdk/google-vertex@3.0.16`
---
# Tests & Validation
* **TypeScript**: `npm run ts` → ✅
* **Lint**: `npm run lint` → ✅
* **Unit tests**: `npm test` → ✅ 231 passed, 0 failed
---
# Migration / Notes
* No breaking changes.
* For Vertex usage:
* Ensure Vertex AI API is enabled.
* Service Account needs `roles/aiplatform.user`.
* Region must support model (e.g. `us-central1`).
* Thinking toggle currently affects **only** Gemini 2.5 Flash.
---
# Manual QA
1. Configure Vertex with Project/Location/Service Account JSON.
2. Test built-ins:
* `gemini-2.5-pro`
* `gemini-2.5-flash` (toggle on/off)
* `gemini-2.5-flash-lite`
3. Test MaaS partner model (e.g., DeepSeek) via full publisher ID.
4. Verify other providers remain unaffected.
<!-- This is an auto-generated description by cubic. -->
---
## Summary by cubic
Adds a first-class Google Vertex AI provider with Gemini 2.5 models, a
Vertex settings panel, and a “thinking” toggle for Gemini 2.5 Flash.
Also fixes model resolution for Vertex and hardens cross-platform file
operations.
- **New Features**
- Vertex AI provider via @ai-sdk/google-vertex with project, location,
and service account JSON.
- Built-in models: gemini-2.5-pro, gemini-2.5-flash,
gemini-2.5-flash-lite.
- “Thinking” support: Pro always on; Flash toggle in Models UI; Flash
Lite none.
- MaaS partners supported via full publisher paths (e.g.,
publishers/<partner>/models/...).
- Vertex settings UI with encrypted service account key storage.
- **Bug Fixes**
- Built-in Vertex models auto-map to publishers/google/models/<id>.
- Consistent file ops across platforms using toPosixPath.
- Vertex readiness detection requires project/location/service account
JSON.
- Streaming “thinking” behavior respects Vertex Flash toggle and Pro
always-on.
<!-- End of auto-generated description by cubic. -->
---------
Co-authored-by: Md Rakibul Islam Rocky <mdrirocky08@gmail.com>
Co-authored-by: graphite-app[bot] <96075541+graphite-app[bot]@users.noreply.github.com>
Co-authored-by: Will Chen <willchen90@gmail.com>
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@@ -30,6 +30,7 @@ const providers = [
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"openai",
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"anthropic",
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"google",
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"vertex",
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"auto",
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"openrouter",
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"ollama",
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@@ -57,15 +58,35 @@ export type LargeLanguageModel = z.infer<typeof LargeLanguageModelSchema>;
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/**
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* Zod schema for provider settings
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* Regular providers use only apiKey. Vertex has additional optional fields.
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*/
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export const ProviderSettingSchema = z.object({
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export const RegularProviderSettingSchema = z.object({
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apiKey: SecretSchema.optional(),
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});
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export const VertexProviderSettingSchema = z.object({
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// We make this undefined so that it makes existing callsites easier.
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apiKey: z.undefined(),
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projectId: z.string().optional(),
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location: z.string().optional(),
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serviceAccountKey: SecretSchema.optional(),
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});
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export const ProviderSettingSchema = z.union([
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// Must use more specific type first!
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// Zod uses the first type that matches.
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VertexProviderSettingSchema,
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RegularProviderSettingSchema,
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]);
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/**
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* Type derived from the ProviderSettingSchema
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*/
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export type ProviderSetting = z.infer<typeof ProviderSettingSchema>;
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export type RegularProviderSetting = z.infer<
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typeof RegularProviderSettingSchema
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>;
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export type VertexProviderSetting = z.infer<typeof VertexProviderSettingSchema>;
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export const RuntimeModeSchema = z.enum(["web-sandbox", "local-node", "unset"]);
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export type RuntimeMode = z.infer<typeof RuntimeModeSchema>;
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