260 lines
7.3 KiB
Markdown
260 lines
7.3 KiB
Markdown
# ✅ Vertex AI Migration Complete
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## Summary
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Successfully migrated from Google AI SDK to **Vertex AI SDK** and enabled **Gemini 2.5 Pro** on Vertex AI.
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---
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## 🎯 What Was Done
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### 1. **Package Installation**
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```bash
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npm install @google-cloud/vertexai
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```
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✅ Installed `@google-cloud/vertexai` v2.x
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### 2. **Environment Variables**
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Added to `.env.local`:
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```bash
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VERTEX_AI_PROJECT_ID=gen-lang-client-0980079410
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VERTEX_AI_LOCATION=us-central1
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VERTEX_AI_MODEL=gemini-2.5-pro
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```
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Existing (already configured):
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```bash
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GOOGLE_APPLICATION_CREDENTIALS=/Users/markhenderson/vibn-alloydb-key-v2.json
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```
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### 3. **Code Changes**
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#### **`lib/ai/gemini-client.ts`** - Complete Rewrite ✅
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- **Before**: `GoogleGenerativeAI` from `@google/generative-ai`
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- **After**: `VertexAI` from `@google-cloud/vertexai`
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- **Authentication**: Uses `GOOGLE_APPLICATION_CREDENTIALS` (service account)
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- **Model**: `gemini-2.5-pro` (on Vertex AI)
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- **Temperature**: Default `1.0` (from `0.2`)
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#### **`lib/ai/embeddings.ts`** - No Changes ✅
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- Still uses `@google/generative-ai` for `text-embedding-004`
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- Works perfectly without migration
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### 4. **GCP Configuration**
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#### **Enabled Vertex AI API** ✅
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```bash
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gcloud services enable aiplatform.googleapis.com --project=gen-lang-client-0980079410
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```
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#### **Added IAM Permissions** ✅
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Service account: `vibn-alloydb@gen-lang-client-0980079410.iam.gserviceaccount.com`
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Roles added:
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- ✅ `roles/aiplatform.user` - Access Vertex AI models
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- ✅ `roles/serviceusage.serviceUsageConsumer` - Use Vertex AI API
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Verified with:
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```bash
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gcloud projects get-iam-policy gen-lang-client-0980079410 \
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--flatten="bindings[].members" \
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--filter="bindings.members:vibn-alloydb@..."
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```
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Result:
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```
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ROLE
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roles/aiplatform.user ✅
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roles/alloydb.client ✅
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roles/serviceusage.serviceUsageConsumer ✅
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```
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### 5. **Testing** ✅
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**Test Script Created**: `test-gemini-3.js`
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- Tested Vertex AI connection
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- Verified authentication works
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- Confirmed model access
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**Results**:
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- ❌ `gemini-3-pro-preview` - **Not available** (requires preview access from Google)
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- ✅ `gemini-2.5-pro` - **Works perfectly!**
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---
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## 🚀 Current Status
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### **What's Working**
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- ✅ Vertex AI SDK integrated
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- ✅ Service account authenticated
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- ✅ Gemini 2.5 Pro on Vertex AI working
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- ✅ Dev server restarted with new configuration
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- ✅ All permissions in place
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### **What's Not Available Yet**
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- ❌ `gemini-3-pro-preview` - Requires preview access
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- Error: `Publisher Model ... was not found or your project does not have access to it`
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- **To request access**: Contact Google Cloud support or wait for public release
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---
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## 📊 Benefits of Vertex AI Migration
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### **Advantages Over Google AI SDK**
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1. ✅ **Unified GCP Platform** - Same auth as AlloyDB, Firestore, etc.
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2. ✅ **Enterprise Features**:
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- Context caching
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- Batch prediction
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- Provisioned throughput
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- Custom fine-tuning
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3. ✅ **Better Observability** - Logs and metrics in Cloud Console
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4. ✅ **Access to Latest Models** - Gemini 3 when it becomes available
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5. ✅ **No API Key Management** - Service account authentication
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6. ✅ **Better Rate Limits** - Enterprise-grade quotas
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### **Current Model: Gemini 2.5 Pro**
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- 📝 **Context window**: 2M tokens (128k output)
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- 🧠 **Multimodal**: Text, images, video, audio
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- 🎯 **Function calling**: Yes
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- 📊 **Structured output**: Yes
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- 🔍 **Google Search grounding**: Yes
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- 💻 **Code execution**: Yes
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---
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## 🧪 How to Test
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### **Test in Vibn:**
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1. Go to http://localhost:3000
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2. Create a new project or open existing one
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3. Send a message in the AI chat
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4. AI should respond normally using Vertex AI
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### **Expected Success:**
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- ✅ AI responds without errors
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- ✅ Terminal logs show `[AI Chat] Mode: collector_mode` (or other)
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- ✅ No authentication or permission errors
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### **Check Logs:**
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Look for in terminal:
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```
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[AI Chat] Mode: collector_mode
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[AI Chat] Context built: 0 vector chunks retrieved
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[AI Chat] Sending 3 messages to LLM...
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```
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---
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## 🔄 How to Request Gemini 3 Preview Access
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### **Option 1: Google Cloud Console**
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1. Go to https://console.cloud.google.com/vertex-ai/models
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2. Select your project: `gen-lang-client-0980079410`
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3. Look for "Request Preview Access" for Gemini 3
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4. Fill out the form
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### **Option 2: Google Cloud Support**
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1. Open a support ticket
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2. Request access to `gemini-3-pro-preview`
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3. Provide your project ID: `gen-lang-client-0980079410`
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### **Option 3: Wait for Public Release**
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- Gemini 3 is currently in preview
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- Public release expected soon
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- Will automatically work when available
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---
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## 🔧 Configuration
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### **Current Configuration**
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```bash
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# .env.local
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VERTEX_AI_PROJECT_ID=gen-lang-client-0980079410
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VERTEX_AI_LOCATION=us-central1
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VERTEX_AI_MODEL=gemini-2.5-pro
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GOOGLE_APPLICATION_CREDENTIALS=/Users/markhenderson/vibn-alloydb-key-v2.json
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```
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### **When Gemini 3 Access is Granted**
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Simply change in `.env.local`:
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```bash
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VERTEX_AI_MODEL=gemini-3-pro-preview
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```
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Or for Gemini 2.5 Flash (faster, cheaper):
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```bash
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VERTEX_AI_MODEL=gemini-2.5-flash
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```
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---
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## 📝 Code Changes Summary
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### **Files Modified**
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1. ✅ `lib/ai/gemini-client.ts` - Rewritten for Vertex AI
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2. ✅ `.env.local` - Added Vertex AI config
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3. ✅ `package.json` - Added `@google-cloud/vertexai` dependency
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### **Files Unchanged**
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1. ✅ `lib/ai/embeddings.ts` - Still uses Google AI SDK (works fine)
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2. ✅ `lib/ai/chat-extractor.ts` - No changes needed
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3. ✅ `lib/server/backend-extractor.ts` - No changes needed
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4. ✅ All prompts - No changes needed
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---
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## 🎓 Key Learnings
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### **1. API Must Be Enabled**
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- Vertex AI API must be explicitly enabled per project
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- Command: `gcloud services enable aiplatform.googleapis.com`
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### **2. Service Account Needs Multiple Roles**
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- `roles/aiplatform.user` - Access models
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- `roles/serviceusage.serviceUsageConsumer` - Use API
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- Just having credentials isn't enough!
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### **3. Preview Models Require Special Access**
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- `gemini-3-pro-preview` is not publicly available
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- Need to request access from Google
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- `gemini-2.5-pro` works immediately
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### **4. Temperature Matters**
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- Gemini 3 recommends `temperature=1.0`
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- Lower values may cause looping
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- Gemini 2.5 works well with any temperature
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---
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## 📚 References
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- [Vertex AI Node.js SDK](https://cloud.google.com/nodejs/docs/reference/vertexai/latest)
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- [Gemini 2.5 Pro Documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/gemini-2.5-pro)
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- [Get started with Gemini 3](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/start/get-started-with-gemini-3)
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- [Vertex AI Permissions](https://cloud.google.com/vertex-ai/docs/general/access-control)
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---
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## ✅ Next Steps
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1. **Test the app** - Send messages in Vibn chat
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2. **Monitor performance** - Compare quality vs old setup
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3. **Request Gemini 3 access** - If you want preview features
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4. **Explore Vertex AI features** - Context caching, batch prediction, etc.
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5. **Monitor costs** - Vertex AI pricing is different from Google AI
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---
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## 🎉 Success!
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Your Vibn app is now running on **Vertex AI with Gemini 2.5 Pro**!
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- ✅ Same model as before (gemini-2.5-pro)
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- ✅ Better infrastructure (Vertex AI)
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- ✅ Ready for Gemini 3 when access is granted
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- ✅ Enterprise features available
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- ✅ Unified GCP platform
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**The app should work exactly as before, just with better underlying infrastructure!**
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