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AI_PROVIDER_COMPARISON.md

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# AI Provider Comparison
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## Overview
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FlowVision now supports **three AI provider options**. Choose the one that fits your needs!
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## 📊 Comparison Table
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| Feature | Azure OpenAI | LM Studio (Local) | Azure Foundry / GitHub Models |
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|---------|--------------|-------------------|-------------------------------|
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| **Cost** | 💰 Pay per use |**FREE** | 💰 Pay per use |
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| **Privacy** | ⚠️ Cloud-based |**100% Local** | ⚠️ Cloud-based |
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| **Internet Required** | ✅ Yes |**No** (after setup) | ✅ Yes |
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| **Setup Difficulty** | 🟢 Easy | 🟡 Moderate | 🟢 Easy |
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| **Response Speed** | 🟢 Fast | 🟡 Depends on hardware | 🟢 Fast |
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| **Response Quality** | 🟢 Excellent | 🟡 Good to Excellent | 🟢 Excellent |
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| **Tool Calling** | ✅ Full support |**Supported** | ✅ Full support |
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| **API Limits** | ⚠️ Rate limits apply |**No limits** | ⚠️ Rate limits apply |
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| **Model Choice** | Limited to Azure |**Any LM Studio model** | Limited to provider |
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| **Offline Mode** | ❌ No |**YES** | ❌ No |
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| **Data Ownership** | ⚠️ Shared with Microsoft |**100% Yours** | ⚠️ Shared with provider |
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## 🎯 Use Case Recommendations
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### Choose **LM Studio** if you need:
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-**Complete privacy** and data security
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-**Zero costs** regardless of usage
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-**Offline operation** (no internet needed)
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-**Sensitive data** handling
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-**Unlimited usage** without rate limits
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-**Full control** over the model
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**Best for**: Privacy-conscious users, offline work, testing, learning, unlimited usage
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### Choose **Azure OpenAI** if you need:
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-**Best performance** without local hardware
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-**Enterprise support** and SLA
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-**Consistent quality** across requests
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-**No setup hassle** - works immediately
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-**Latest models** (GPT-4, etc.)
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**Best for**: Production use, enterprise apps, guaranteed uptime, latest models
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### Choose **Azure Foundry / GitHub Models** if you need:
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-**Free tier** for testing
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-**Variety of models** to choose from
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-**GitHub integration**
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-**Easy setup** with GitHub account
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**Best for**: Developers, open-source projects, testing different models
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## 💻 System Requirements
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### Azure OpenAI
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- **RAM**: N/A (cloud service)
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- **Storage**: None
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- **Internet**: Required
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- **Hardware**: Any PC
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### LM Studio
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- **RAM**:
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- Minimum: 16GB
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- Recommended: 32GB+
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- For large models: 64GB+
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- **Storage**:
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- Model size: 2GB - 50GB
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- Installation: 500MB
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- **GPU**:
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- Optional but recommended
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- NVIDIA (CUDA), AMD (ROCm), Apple Silicon (Metal)
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- **Internet**:
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- Required for initial download
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- Not needed after setup
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### Azure Foundry
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- **RAM**: N/A (cloud service)
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- **Storage**: None
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- **Internet**: Required
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- **Hardware**: Any PC
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## 💰 Cost Comparison (Example)
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### Scenario: 1,000 requests/day (30,000/month)
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| Provider | Cost Estimate | Notes |
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|----------|--------------|-------|
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| **LM Studio** | **$0/month** 🎉 | Free! Only electricity cost |
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| **Azure OpenAI** | $30-150/month | Depends on model and usage |
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| **GitHub Models** | Free tier → Paid | Limited free tier |
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### Break-even Analysis
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If you make more than **~100 requests per day**, LM Studio typically pays for itself through:
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- No API costs
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- No rate limits
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- Unlimited usage
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**Initial investment**: $0 (software is free, use existing hardware)
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## ⚡ Performance Comparison
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### Response Time (Average)
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| Provider | Simple Query | Tool Calling | Long Response |
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|----------|--------------|--------------|---------------|
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| **Azure OpenAI** | 1-2s | 2-4s | 5-10s |
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| **LM Studio (16GB)** | 2-5s | 5-10s | 10-30s |
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| **LM Studio (32GB+GPU)** | 1-3s | 3-6s | 5-15s |
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| **Azure Foundry** | 1-3s | 3-5s | 5-12s |
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### Quality Rating (Subjective)
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| Provider | Model | Quality | Tool Calling |
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|----------|-------|---------|--------------|
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| **Azure OpenAI** | GPT-4 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
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| **LM Studio** | Hermes-2-Pro-7B | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
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| **LM Studio** | Mixtral-8x7B | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
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| **Azure Foundry** | Various | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
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## 🔐 Privacy & Security
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### Data Flow
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**Azure OpenAI:**
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```
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Your Data → Azure Cloud → Processed → Returned
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```
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- Data sent to Microsoft servers
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- Subject to Microsoft privacy policy
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- Encrypted in transit and at rest
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- May be used for service improvement
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**LM Studio:**
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```
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Your Data → Your Computer → Processed → Stays Local
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```
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- Data never leaves your machine
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- Complete control over data
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- No external dependencies
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- Perfect for sensitive information
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**Azure Foundry:**
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```
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Your Data → Azure/GitHub Cloud → Processed → Returned
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```
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- Similar to Azure OpenAI
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- May have different retention policies
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- Check provider terms of service
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## 🎮 Switching Between Providers
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### In FlowVision:
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```
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Priority Order (Top to Bottom):
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1. LM Studio (if enabled)
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└─ Check: LMStudioConfig.Enabled = true
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2. Multi-Agent Mode (if enabled)
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└─ Uses Azure OpenAI with multiple agents
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3. Azure OpenAI (default)
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└─ Always available as fallback
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```
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### Quick Switch Commands:
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**Enable LM Studio:**
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```csharp
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var config = LMStudioConfig.LoadConfig();
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config.Enabled = true;
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config.SaveConfig();
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```
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**Disable LM Studio (use Azure):**
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```csharp
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var config = LMStudioConfig.LoadConfig();
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config.Enabled = false;
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config.SaveConfig();
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```
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**No restart required!** Changes take effect immediately.
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## 📈 Recommendations by Role
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### For **Developers**:
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**Primary**: LM Studio (free, unlimited testing)
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**Backup**: Azure OpenAI (production deployments)
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### For **Enterprises**:
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**Primary**: Azure OpenAI (SLA, support, scale)
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**Secondary**: LM Studio (internal tools, testing)
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### For **Privacy-Conscious Users**:
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**Only**: LM Studio (complete data control)
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### For **Students/Learners**:
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**Primary**: LM Studio (free, learn AI concepts)
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**Alternative**: Azure Foundry (free tier)
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### For **Open Source Projects**:
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**Primary**: LM Studio (no API costs for contributors)
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**Secondary**: GitHub Models (integration benefits)
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## 🎯 Bottom Line
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| Priority | Factor | Best Choice |
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|----------|--------|-------------|
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| 1 | **Privacy** | 🏆 LM Studio |
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| 2 | **Cost** | 🏆 LM Studio |
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| 3 | **Quality** | 🏆 Azure OpenAI |
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| 4 | **Speed** | 🏆 Azure OpenAI |
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| 5 | **Offline** | 🏆 LM Studio |
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| 6 | **Ease of Use** | 🏆 Azure OpenAI |
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| 7 | **Unlimited Use** | 🏆 LM Studio |
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| 8 | **Latest Models** | 🏆 Azure OpenAI |
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## 💡 Pro Tip: Hybrid Approach
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**Best of Both Worlds:**
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1. **Development/Testing**: Use LM Studio
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- Unlimited testing
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- No costs
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- Fast iteration
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2. **Production**: Use Azure OpenAI
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- Consistent performance
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- Enterprise support
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- Latest models
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3. **Sensitive Data**: Always use LM Studio
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- Complete privacy
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- Local processing
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- Your data stays yours
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## 🚀 Getting Started
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### LM Studio Setup: **5 minutes**
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See: [LMSTUDIO_QUICKSTART.md](LMSTUDIO_QUICKSTART.md)
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### Azure OpenAI Setup: **10 minutes**
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Already configured in FlowVision
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### Switch anytime with one checkbox! ✅
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---
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**Choose what works best for YOUR needs!** 🎯

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