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>
This commit is contained in:
committed by
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parent
e962964afe
commit
4db6d63b72
@@ -7,6 +7,7 @@ import {
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AccordionTrigger,
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} from "@/components/ui/accordion";
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import { AzureConfiguration } from "./AzureConfiguration";
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import { VertexConfiguration } from "./VertexConfiguration";
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import { Input } from "@/components/ui/input";
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import { Button } from "@/components/ui/button";
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import { UserSettings } from "@/lib/schemas";
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@@ -51,6 +52,10 @@ export function ApiKeyConfiguration({
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if (provider === "azure") {
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return <AzureConfiguration envVars={envVars} />;
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}
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// Special handling for Google Vertex AI which uses service account credentials
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if (provider === "vertex") {
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return <VertexConfiguration />;
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}
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const envApiKey = envVarName ? envVars[envVarName] : undefined;
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const userApiKey = settings?.providerSettings?.[provider]?.apiKey?.value;
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@@ -75,8 +75,20 @@ export function ProviderSettingsPage({ provider }: ProviderSettingsPageProps) {
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? !!(envVars["AZURE_API_KEY"] && envVars["AZURE_RESOURCE_NAME"])
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: false;
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// Special handling for Vertex configuration status
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const vertexSettings = settings?.providerSettings?.vertex as any;
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const isVertexConfigured = Boolean(
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vertexSettings?.projectId &&
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vertexSettings?.location &&
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vertexSettings?.serviceAccountKey?.value,
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);
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const isConfigured =
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provider === "azure" ? isAzureConfigured : isValidUserKey || hasEnvKey; // Configured if either is set
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provider === "azure"
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? isAzureConfigured
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: provider === "vertex"
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? isVertexConfigured
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: isValidUserKey || hasEnvKey; // Configured if either is set
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// --- Save Handler ---
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const handleSaveKey = async () => {
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141
src/components/settings/VertexConfiguration.tsx
Normal file
141
src/components/settings/VertexConfiguration.tsx
Normal file
@@ -0,0 +1,141 @@
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import { useState, useEffect } from "react";
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import { Input } from "@/components/ui/input";
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import { Button } from "@/components/ui/button";
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import { Textarea } from "@/components/ui/textarea";
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import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert";
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import { Info, CheckCircle2 } from "lucide-react";
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import { useSettings } from "@/hooks/useSettings";
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import type { UserSettings, VertexProviderSetting } from "@/lib/schemas";
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export function VertexConfiguration() {
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const { settings, updateSettings } = useSettings();
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const existing =
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(settings?.providerSettings?.vertex as VertexProviderSetting) ?? {};
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const [projectId, setProjectId] = useState(existing.projectId || "");
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const [location, setLocation] = useState(existing.location || "");
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const [serviceAccountKey, setServiceAccountKey] = useState(
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existing.serviceAccountKey?.value || "",
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);
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const [saving, setSaving] = useState(false);
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const [error, setError] = useState<string | null>(null);
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const [saved, setSaved] = useState(false);
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useEffect(() => {
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setProjectId(existing.projectId || "");
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setLocation(existing.location || "");
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setServiceAccountKey(existing.serviceAccountKey?.value || "");
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}, [settings?.providerSettings?.vertex]);
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const onSave = async () => {
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setError(null);
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setSaved(false);
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try {
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// If provided, ensure the service account JSON parses
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if (serviceAccountKey) {
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JSON.parse(serviceAccountKey);
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}
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} catch (e: any) {
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setError("Service account JSON is invalid: " + e.message);
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return;
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}
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setSaving(true);
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try {
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const settingsUpdate: Partial<UserSettings> = {
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providerSettings: {
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...settings?.providerSettings,
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vertex: {
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...existing,
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projectId: projectId.trim() || undefined,
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location: location || undefined,
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serviceAccountKey: serviceAccountKey
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? { value: serviceAccountKey }
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: undefined,
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},
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},
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};
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await updateSettings(settingsUpdate);
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setSaved(true);
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} catch (e: any) {
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setError(e?.message || "Failed to save Vertex settings");
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} finally {
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setSaving(false);
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}
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};
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const isConfigured = Boolean(
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(projectId.trim() && location && serviceAccountKey) ||
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(existing.projectId &&
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existing.location &&
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existing.serviceAccountKey?.value),
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);
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return (
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<div className="space-y-4">
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<div className="grid grid-cols-1 gap-4">
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<div>
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<label className="block text-sm font-medium mb-1">Project ID</label>
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<Input
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value={projectId}
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onChange={(e) => setProjectId(e.target.value)}
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placeholder="your-gcp-project-id"
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/>
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</div>
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<div>
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<label className="block text-sm font-medium mb-1">Location</label>
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<Input
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value={location}
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onChange={(e) => setLocation(e.target.value)}
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placeholder="us-central1"
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/>
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<p className="mt-1 text-xs text-muted-foreground">
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If you see a "model not found" error, try a different region. Some
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partner models (MaaS) are only available in specific locations
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(e.g., us-central1, us-west2).
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</p>
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</div>
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<div>
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<label className="block text-sm font-medium mb-1">
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Service Account JSON Key
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</label>
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<Textarea
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value={serviceAccountKey}
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onChange={(e) => setServiceAccountKey(e.target.value)}
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placeholder="Paste the full JSON contents of your service account key here"
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className="min-h-40"
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/>
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</div>
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</div>
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<div className="flex items-center gap-2">
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<Button onClick={onSave} disabled={saving}>
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{saving ? "Saving..." : "Save Settings"}
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</Button>
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{saved && !error && (
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<span className="flex items-center text-green-600 text-sm">
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<CheckCircle2 className="h-4 w-4 mr-1" /> Saved
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</span>
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)}
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</div>
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{!isConfigured && (
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<Alert variant="default">
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<Info className="h-4 w-4" />
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<AlertTitle>Configuration Required</AlertTitle>
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<AlertDescription>
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Provide Project, Location, and a service account JSON key with
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Vertex AI access.
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</AlertDescription>
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</Alert>
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)}
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{error && (
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<Alert variant="destructive">
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<AlertTitle>Save Error</AlertTitle>
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<AlertDescription>{error}</AlertDescription>
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</Alert>
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)}
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</div>
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);
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}
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@@ -2,7 +2,7 @@ import { useQuery } from "@tanstack/react-query";
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import { IpcClient } from "@/ipc/ipc_client";
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import type { LanguageModelProvider } from "@/ipc/ipc_types";
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import { useSettings } from "./useSettings";
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import { cloudProviders } from "@/lib/schemas";
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import { cloudProviders, VertexProviderSetting } from "@/lib/schemas";
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export function useLanguageModelProviders() {
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const ipcClient = IpcClient.getInstance();
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@@ -20,6 +20,18 @@ export function useLanguageModelProviders() {
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if (queryResult.isLoading) {
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return false;
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}
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// Vertex uses service account credentials instead of an API key
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if (provider === "vertex") {
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const vertexSettings = providerSettings as VertexProviderSetting;
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if (
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vertexSettings?.serviceAccountKey?.value &&
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vertexSettings?.projectId &&
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vertexSettings?.location
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) {
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return true;
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}
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return false;
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}
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if (providerSettings?.apiKey?.value) {
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return true;
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}
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@@ -667,28 +667,53 @@ This conversation includes one or more image attachments. When the user uploads
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} else {
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logger.log("sending AI request");
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}
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// Build provider options with correct Google/Vertex thinking config gating
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const providerOptions: Record<string, any> = {
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"dyad-engine": {
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dyadRequestId,
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},
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"dyad-gateway": getExtraProviderOptions(
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modelClient.builtinProviderId,
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settings,
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),
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openai: {
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reasoningSummary: "auto",
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} satisfies OpenAIResponsesProviderOptions,
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};
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// Conditionally include Google thinking config only for supported models
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const selectedModelName = settings.selectedModel.name || "";
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const providerId = modelClient.builtinProviderId;
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const isVertex = providerId === "vertex";
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const isGoogle = providerId === "google";
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const isPartnerModel = selectedModelName.includes("/");
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const isGeminiModel = selectedModelName.startsWith("gemini");
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const isFlashLite = selectedModelName.includes("flash-lite");
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// Keep Google provider behavior unchanged: always include includeThoughts
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if (isGoogle) {
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providerOptions.google = {
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thinkingConfig: {
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includeThoughts: true,
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},
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} satisfies GoogleGenerativeAIProviderOptions;
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}
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// Vertex-specific fix: only enable thinking on supported Gemini models
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if (isVertex && isGeminiModel && !isFlashLite && !isPartnerModel) {
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providerOptions.google = {
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thinkingConfig: {
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includeThoughts: true,
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},
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} satisfies GoogleGenerativeAIProviderOptions;
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}
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return streamText({
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maxOutputTokens: await getMaxTokens(settings.selectedModel),
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temperature: await getTemperature(settings.selectedModel),
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maxRetries: 2,
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model: modelClient.model,
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providerOptions: {
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"dyad-engine": {
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dyadRequestId,
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},
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"dyad-gateway": getExtraProviderOptions(
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modelClient.builtinProviderId,
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settings,
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),
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google: {
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thinkingConfig: {
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includeThoughts: true,
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},
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} satisfies GoogleGenerativeAIProviderOptions,
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openai: {
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reasoningSummary: "auto",
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} satisfies OpenAIResponsesProviderOptions,
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},
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providerOptions,
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system: systemPrompt,
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messages: chatMessages.filter((m) => m.content),
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onError: (error: any) => {
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@@ -8,6 +8,7 @@ import { eq } from "drizzle-orm";
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export const PROVIDERS_THAT_SUPPORT_THINKING: (keyof typeof MODEL_OPTIONS)[] = [
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"google",
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"vertex",
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"auto",
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];
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@@ -144,6 +145,26 @@ export const MODEL_OPTIONS: Record<string, ModelOption[]> = {
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dollarSigns: 2,
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},
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],
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vertex: [
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// Vertex Gemini 2.5 Pro
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{
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name: "gemini-2.5-pro",
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displayName: "Gemini 2.5 Pro",
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description: "Vertex Gemini 2.5 Pro",
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maxOutputTokens: 65_536 - 1,
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contextWindow: 1_048_576,
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temperature: 0,
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},
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// Vertex Gemini 2.5 Flash
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{
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name: "gemini-2.5-flash",
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displayName: "Gemini 2.5 Flash",
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description: "Vertex Gemini 2.5 Flash",
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maxOutputTokens: 65_536 - 1,
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contextWindow: 1_048_576,
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temperature: 0,
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},
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],
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openrouter: [
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{
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name: "qwen/qwen3-coder",
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@@ -270,6 +291,14 @@ export const CLOUD_PROVIDERS: Record<
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websiteUrl: "https://aistudio.google.com/app/apikey",
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gatewayPrefix: "gemini/",
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},
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vertex: {
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displayName: "Google Vertex AI",
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hasFreeTier: false,
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websiteUrl: "https://console.cloud.google.com/vertex-ai",
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// Use the same gateway prefix as Google Gemini for Dyad Pro compatibility.
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gatewayPrefix: "gemini/",
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secondary: true,
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},
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openrouter: {
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displayName: "OpenRouter",
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hasFreeTier: true,
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@@ -1,10 +1,15 @@
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import { createOpenAI } from "@ai-sdk/openai";
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import { createGoogleGenerativeAI as createGoogle } from "@ai-sdk/google";
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import { createAnthropic } from "@ai-sdk/anthropic";
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import { createVertex as createGoogleVertex } from "@ai-sdk/google-vertex";
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import { azure } from "@ai-sdk/azure";
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import { createOpenRouter } from "@openrouter/ai-sdk-provider";
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import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
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import type { LargeLanguageModel, UserSettings } from "../../lib/schemas";
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import type {
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LargeLanguageModel,
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UserSettings,
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VertexProviderSetting,
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} from "../../lib/schemas";
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import { getEnvVar } from "./read_env";
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import log from "electron-log";
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import { getLanguageModelProviders } from "../shared/language_model_helpers";
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@@ -216,6 +221,45 @@ function getRegularModelClient(
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backupModelClients: [],
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};
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}
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case "vertex": {
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// Vertex uses Google service account credentials with project/location
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const vertexSettings = settings.providerSettings?.[
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model.provider
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] as VertexProviderSetting;
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const project = vertexSettings?.projectId;
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const location = vertexSettings?.location;
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const serviceAccountKey = vertexSettings?.serviceAccountKey?.value;
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// Use a baseURL that does NOT pin to publishers/google so that
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// full publisher model IDs (e.g. publishers/deepseek-ai/models/...) work.
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const regionHost = `${location === "global" ? "" : `${location}-`}aiplatform.googleapis.com`;
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const baseURL = `https://${regionHost}/v1/projects/${project}/locations/${location}`;
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const provider = createGoogleVertex({
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project,
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location,
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baseURL,
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googleAuthOptions: serviceAccountKey
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? {
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// Expecting the user to paste the full JSON of the service account key
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credentials: JSON.parse(serviceAccountKey),
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}
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: undefined,
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});
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return {
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modelClient: {
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// For built-in Google models on Vertex, the path must include
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// publishers/google/models/<model>. For partner MaaS models the
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// full publisher path is already included.
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model: provider(
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model.name.includes("/")
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? model.name
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: `publishers/google/models/${model.name}`,
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),
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builtinProviderId: providerId,
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},
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backupModelClients: [],
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};
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}
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case "openrouter": {
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const provider = createOpenRouter({ apiKey });
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return {
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|
||||
@@ -30,6 +30,7 @@ const providers = [
|
||||
"openai",
|
||||
"anthropic",
|
||||
"google",
|
||||
"vertex",
|
||||
"auto",
|
||||
"openrouter",
|
||||
"ollama",
|
||||
@@ -57,15 +58,35 @@ export type LargeLanguageModel = z.infer<typeof LargeLanguageModelSchema>;
|
||||
|
||||
/**
|
||||
* Zod schema for provider settings
|
||||
* Regular providers use only apiKey. Vertex has additional optional fields.
|
||||
*/
|
||||
export const ProviderSettingSchema = z.object({
|
||||
export const RegularProviderSettingSchema = z.object({
|
||||
apiKey: SecretSchema.optional(),
|
||||
});
|
||||
|
||||
export const VertexProviderSettingSchema = z.object({
|
||||
// We make this undefined so that it makes existing callsites easier.
|
||||
apiKey: z.undefined(),
|
||||
projectId: z.string().optional(),
|
||||
location: z.string().optional(),
|
||||
serviceAccountKey: SecretSchema.optional(),
|
||||
});
|
||||
|
||||
export const ProviderSettingSchema = z.union([
|
||||
// Must use more specific type first!
|
||||
// Zod uses the first type that matches.
|
||||
VertexProviderSettingSchema,
|
||||
RegularProviderSettingSchema,
|
||||
]);
|
||||
|
||||
/**
|
||||
* Type derived from the ProviderSettingSchema
|
||||
*/
|
||||
export type ProviderSetting = z.infer<typeof ProviderSettingSchema>;
|
||||
export type RegularProviderSetting = z.infer<
|
||||
typeof RegularProviderSettingSchema
|
||||
>;
|
||||
export type VertexProviderSetting = z.infer<typeof VertexProviderSettingSchema>;
|
||||
|
||||
export const RuntimeModeSchema = z.enum(["web-sandbox", "local-node", "unset"]);
|
||||
export type RuntimeMode = z.infer<typeof RuntimeModeSchema>;
|
||||
|
||||
@@ -1,7 +1,12 @@
|
||||
import fs from "node:fs";
|
||||
import path from "node:path";
|
||||
import { getUserDataPath } from "../paths/paths";
|
||||
import { UserSettingsSchema, type UserSettings, Secret } from "../lib/schemas";
|
||||
import {
|
||||
UserSettingsSchema,
|
||||
type UserSettings,
|
||||
Secret,
|
||||
VertexProviderSetting,
|
||||
} from "../lib/schemas";
|
||||
import { safeStorage } from "electron";
|
||||
import { v4 as uuidv4 } from "uuid";
|
||||
import log from "electron-log";
|
||||
@@ -114,6 +119,17 @@ export function readSettings(): UserSettings {
|
||||
encryptionType,
|
||||
};
|
||||
}
|
||||
// Decrypt Vertex service account key if present
|
||||
const v = combinedSettings.providerSettings[
|
||||
provider
|
||||
] as VertexProviderSetting;
|
||||
if (provider === "vertex" && v?.serviceAccountKey) {
|
||||
const encryptionType = v.serviceAccountKey.encryptionType;
|
||||
v.serviceAccountKey = {
|
||||
value: decrypt(v.serviceAccountKey),
|
||||
encryptionType,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Validate and merge with defaults
|
||||
@@ -171,6 +187,11 @@ export function writeSettings(settings: Partial<UserSettings>): void {
|
||||
newSettings.providerSettings[provider].apiKey.value,
|
||||
);
|
||||
}
|
||||
// Encrypt Vertex service account key if present
|
||||
const v = newSettings.providerSettings[provider] as VertexProviderSetting;
|
||||
if (provider === "vertex" && v?.serviceAccountKey) {
|
||||
v.serviceAccountKey = encrypt(v.serviceAccountKey.value);
|
||||
}
|
||||
}
|
||||
const validatedSettings = UserSettingsSchema.parse(newSettings);
|
||||
fs.writeFileSync(filePath, JSON.stringify(validatedSettings, null, 2));
|
||||
|
||||
Reference in New Issue
Block a user