feat: vertex ai integration

.env.example

@@ -94,6 +94,11 @@ PERPLEXITY_API_KEY=
 # {"region": "us-east-1", "accessKeyId": "yourAccessKeyId", "secretAccessKey": "yourSecretAccessKey", "sessionToken": "yourSessionToken"}
 AWS_BEDROCK_CONFIG=
 
+# Google Cloud / Vertex AI Configuration
+GOOGLE_PROJECT_ID=
+GOOGLE_LOCATION=  # or your preferred region
+GOOGLE_ACCESS_TOKEN=
+
 # Include this environment variable if you want more logging for debugging locally
 VITE_LOG_LEVEL=debug
 

app/lib/modules/llm/providers/vertex-ai.ts

@@ -0,0 +1,178 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1, LanguageModelV1CallOptions } from 'ai';
+
+
+export default class VertexAIProvider extends BaseProvider {
+  name = 'VertexAI';
+  getApiKeyLink = 'https://console.cloud.google.com/';
+
+  config = {
+    apiTokenKey: 'GOOGLE_ACCESS_TOKEN',
+    projectIdKey: 'GOOGLE_PROJECT_ID',
+    locationKey: 'GOOGLE_LOCATION',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'gemini-pro',
+      label: 'Gemini Pro',
+      provider: 'VertexAI',
+      maxTokenAllowed: 30720,
+    },
+    {
+      name: 'gemini-pro-vision',
+      label: 'Gemini Pro Vision',
+      provider: 'VertexAI',
+      maxTokenAllowed: 30720,
+    },
+    {
+      name: 'code-bison',
+      label: 'Code Bison',
+      provider: 'VertexAI',
+      maxTokenAllowed: 6144,
+    },
+  ];
+
+  async getDynamicModels(
+    _apiKeys?: Record<string, string>,
+    _settings?: IProviderSetting,
+    _serverEnv: Record<string, string> = {},
+  ): Promise<ModelInfo[]> {
+    /*
+     * Vertex AI doesn't have a public API to fetch models dynamically
+     * Return static models instead
+     */
+    return this.staticModels;
+  }
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv?: any;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv = {}, apiKeys, providerSettings } = options;
+
+    // Get all required credentials using base provider's method
+    const { apiKey: accessToken, baseUrl: projectId } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv,
+      defaultBaseUrlKey: 'GOOGLE_PROJECT_ID',
+      defaultApiTokenKey: 'GOOGLE_ACCESS_TOKEN',
+    });
+
+    if (!accessToken) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    if (!projectId) {
+      throw new Error(`Missing project ID for ${this.name} provider`);
+    }
+
+    // Get location from settings or default
+    const location = apiKeys?.GOOGLE_LOCATION || 
+                    providerSettings?.[this.name]?.location || 
+                    serverEnv?.GOOGLE_LOCATION || 
+                    'us-central1';
+
+    const instance: LanguageModelV1 = {
+      specificationVersion: 'v1',
+      provider: this.name,
+      modelId: model,
+      defaultObjectGenerationMode: undefined,
+
+      async doGenerate(options: LanguageModelV1CallOptions) {
+        const messages = options.prompt.map((msg) => ({
+          role: msg.role === 'system' ? 'user' : msg.role,
+          parts: Array.isArray(msg.content)
+            ? msg.content.map((part) => {
+                if ('text' in part) {
+                  return { text: part.text };
+                }
+                throw new Error(`Unsupported content type for Vertex AI`);
+              })
+            : [{ text: msg.content }],
+        }));
+
+        const endpoint = `https://${location}-aiplatform.googleapis.com/v1/projects/${projectId}/locations/${location}/publishers/google/models/${model}:generateContent`;
+
+        const response = await fetch(endpoint, {
+          method: 'POST',
+          headers: {
+            'Content-Type': 'application/json',
+            Authorization: `Bearer ${accessToken}`,
+          },
+          body: JSON.stringify({
+            contents: messages,
+            generationConfig: {
+              maxOutputTokens: 2048,
+              temperature: 0.9,
+              topP: 1,
+            },
+          }),
+        });
+
+        if (!response.ok) {
+          const error = (await response.json()) as { error?: { message?: string } };
+          throw new Error(`Vertex AI API error: ${error.error?.message || 'Unknown error'}`);
+        }
+
+        const data = (await response.json()) as {
+          candidates?: Array<{
+            content: {
+              parts: Array<{ text: string }>;
+            };
+          }>;
+        };
+
+        if (!data.candidates?.[0]?.content) {
+          throw new Error('No response generated from Vertex AI');
+        }
+
+        return {
+          text: data.candidates[0].content.parts[0].text,
+          finishReason: 'stop',
+          usage: {
+            promptTokens: 0,
+            completionTokens: 0,
+          },
+          rawCall: {
+            rawPrompt: messages,
+            rawSettings: {},
+          },
+        };
+      },
+
+      async doStream(options: LanguageModelV1CallOptions) {
+        const response = await this.doGenerate(options);
+        return {
+          stream: new ReadableStream({
+            start(controller) {
+              if (response.text) {
+                controller.enqueue({
+                  type: 'text-delta',
+                  textDelta: response.text,
+                });
+              }
+              controller.enqueue({
+                type: 'finish',
+                finishReason: response.finishReason,
+                usage: response.usage,
+              });
+              controller.close();
+            },
+          }),
+          rawCall: {
+            rawPrompt: options.prompt,
+            rawSettings: {},
+          },
+        };
+      },
+    };
+
+    return instance;
+  }
+}

app/lib/modules/llm/registry.ts

@@ -16,7 +16,7 @@ import XAIProvider from './providers/xai';
 import HyperbolicProvider from './providers/hyperbolic';
 import AmazonBedrockProvider from './providers/amazon-bedrock';
 import GithubProvider from './providers/github';
-
+import VertexAIProvider from './providers/vertex-ai';
 export {
   AnthropicProvider,
   CohereProvider,
@@ -36,4 +36,5 @@ export {
   LMStudioProvider,
   AmazonBedrockProvider,
   GithubProvider,
+  VertexAIProvider
 };

app/types/model.ts

@@ -17,6 +17,8 @@ export type ProviderInfo = {
 export interface IProviderSetting {
   enabled?: boolean;
   baseUrl?: string;
+  projectId?: string;
+  location?: string;
 }
 
 export type IProviderConfig = ProviderInfo & {