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deepinfra-provider-extraction.md

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# DeepInfra Provider - Feature Extraction Report
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## Executive Summary
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DeepInfra is a model provider integration in Roo Code that offers access to various AI models through DeepInfra's API infrastructure. It provides a cost-effective way to access high-performance models including Qwen, Llama, and other open-source models with features like prompt caching, vision support, and reasoning capabilities.
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## UI/UX Analysis
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### User Interface Components
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#### 1. Provider Selection (`webview-ui/src/components/settings/constants.ts`)
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**Visual Layout:**
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- DeepInfra appears in the provider dropdown list
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- Position: Between OpenRouter and Anthropic in the provider list
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- Label: "DeepInfra" (user-friendly name)
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- Value: "deepinfra" (internal identifier)
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#### 2. Settings Panel (`webview-ui/src/components/settings/providers/DeepInfra.tsx`)
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**Visual Elements:**
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- **API Key Input Field**
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- Type: Password field (masked input)
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- Placeholder: Localized "API Key" placeholder text
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- Label: "API Key" (font-medium, mb-1 spacing)
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- Full width text field using VSCode's webview UI toolkit
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- Real-time input handling with onChange events
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- **Refresh Models Button**
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- Visual: Outline variant button with icon
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- Icon: Codicon refresh icon (spinning animation)
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- Text: "Refresh Models" (localized)
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- Feedback: Shows hint text after refresh
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- Error state: Red text color for error messages
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- **Model Picker Component**
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- Dropdown selector for available models
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- Default selection: Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo
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- External link: "Browse models at deepinfra.com/models"
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- Error display: Shows validation errors in red
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- Organization restrictions: Respects allow lists
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**User Feedback:**
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- Loading states during model fetching
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- Success confirmation after refresh
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- Error messages for invalid API keys
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- Hint text: "Models refreshed. Check the model dropdown."
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### User Experience Elements
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#### Visual Patterns
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**Consistent VSCode Integration:**
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- Uses VSCode's native color variables
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- Follows VSCode's dark/light theme automatically
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- Consistent spacing and typography with other providers
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- Standard form field styling
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**Interactive Behaviors:**
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- Auto-save on field changes (debounced)
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- Silent model refresh on API key/URL changes
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- Immediate visual feedback on interactions
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- Keyboard accessible (tab navigation)
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### User Workflows
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#### 1. Initial Setup
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```
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User Journey:
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1. Open Settings → Navigate to API Provider section
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2. Select "DeepInfra" from provider dropdown
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3. Enter API Key (obtained from deepinfra.com)
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→ Field masks input for security
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→ Auto-validates format
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4. Models auto-populate after valid key entry
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5. Select desired model from dropdown
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→ Default: Qwen3-Coder-480B
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→ Shows model descriptions
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6. Configuration auto-saves
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```
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#### 2. Model Selection and Management
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```
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Workflow:
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1. View available models in dropdown
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→ Shows model ID and description
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→ Indicates capabilities (vision, caching)
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2. Click "Browse models" link
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→ Opens deepinfra.com/models in browser
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→ User can explore full catalog
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3. Click "Refresh Models" if needed
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→ Fetches latest model list
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→ Shows refresh confirmation
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4. Select different model
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→ Immediate effect on next conversation
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→ Preserves selection across sessions
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```
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#### 3. Troubleshooting Flow
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```
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Error Recovery:
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1. Invalid API Key
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→ Error message appears
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→ Models list shows as empty
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→ User corrects API key
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2. Network Issues
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→ Timeout message shown
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→ Retry with "Refresh Models"
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→ Falls back to default model
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3. Model Unavailable
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→ Automatically uses fallback model
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→ Shows warning to user
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→ Suggests refresh or different model
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```
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## Technical Details
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### Core Components
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#### 1. **DeepInfraHandler** (`src/api/providers/deepinfra.ts`)
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- **Class Hierarchy**: Extends `RouterProvider``BaseProvider`
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- **Interfaces**: Implements `SingleCompletionHandler`
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- **Key Methods**:
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- `createMessage()`: Handles streaming chat completions
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- `completePrompt()`: Non-streaming completions
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- `fetchModel()`: Retrieves available models
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- `processUsageMetrics()`: Calculates costs and token usage
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#### 2. **Model Fetcher** (`src/api/providers/fetchers/deepinfra.ts`)
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- **API Endpoint**: `/models` (OpenAI-compatible)
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- **Response Parsing**: Zod schema validation
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- **Metadata Extraction**:
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```typescript
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{
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contextWindow: number, // Default: 8192
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maxTokens: number, // Default: 20% of context
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supportsImages: boolean, // From tags
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supportsPromptCache: boolean, // From tags
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inputPrice: number, // Per million tokens
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outputPrice: number, // Per million tokens
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cacheReadsPrice: number, // Discounted cache reads
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}
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```
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### API Integration
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#### Request Configuration
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```typescript
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{
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baseURL: "https://api.deepinfra.com/v1/openai",
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headers: {
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"Authorization": "Bearer {API_KEY}",
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"X-Deepinfra-Source": "roo-code",
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"X-Deepinfra-Version": "2025-08-25"
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}
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}
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```
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#### Streaming Response Handling
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- Supports text chunks via `delta.content`
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- Handles reasoning content via `delta.reasoning_content`
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- Includes usage metrics in stream
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- Processes cache read/write tokens
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### Configuration Options
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| Setting | Type | Default | Description |
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|---------|------|---------|-------------|
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| `deepInfraApiKey` | string | - | API authentication key |
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| `deepInfraBaseUrl` | string | https://api.deepinfra.com/v1/openai | API endpoint |
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| `deepInfraModelId` | string | Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo | Selected model |
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| `modelTemperature` | number | 0 | Response randomness (0-2) |
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| `includeMaxTokens` | boolean | true | Include max tokens in requests |
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| `modelMaxTokens` | number | Model default | Maximum response length |
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### Advanced Features
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#### 1. **Prompt Caching**
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- Enabled for models with `prompt_cache` tag
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- Uses task ID as cache key
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- Reduces costs for repeated contexts
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- Automatic cache management
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#### 2. **Vision Support**
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- Detected via model tags
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- Enables image input for compatible models
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- Seamless integration with Roo's image handling
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#### 3. **Reasoning Models**
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- Special handling for reasoning content
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- Separate token tracking for thinking
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- Supports models like o1-preview variants
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#### 4. **Dynamic Model Discovery**
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- Real-time model list fetching
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- Automatic capability detection
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- Pricing information extraction
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- Fallback to defaults on failure
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## Non-Technical Information
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### Business Value
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1. **Cost Efficiency**
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- Competitive pricing vs. direct API access
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- Prompt caching reduces repeated costs
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- Pay-per-use model with no minimums
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2. **Model Variety**
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- Access to latest open-source models
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- Specialized coding models (Qwen Coder)
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- Vision and multimodal capabilities
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- Different size/speed tradeoffs
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3. **Performance Benefits**
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- Low latency infrastructure
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- High availability
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- Automatic load balancing
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- Global edge locations
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### Common Use Cases
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#### For Developers
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- **Code Generation**: Qwen Coder models excel at programming tasks
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- **Debugging**: Large context windows for entire codebases
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- **Documentation**: Generate technical docs with code understanding
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- **Refactoring**: Analyze and improve existing code
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#### For Teams
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- **Shared Infrastructure**: Single API key for team
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- **Model Experimentation**: Try different models easily
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- **Cost Control**: Usage-based pricing, no subscriptions
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- **Compliance**: Data processing transparency
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### User Benefits
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1. **Ease of Use**
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- Simple API key setup
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- Automatic model discovery
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- Sensible defaults
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- No complex configuration
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2. **Flexibility**
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- Switch models on-the-fly
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- Custom base URLs for enterprise
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- Temperature and token controls
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- Organization-level restrictions
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3. **Reliability**
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- Automatic fallbacks
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- Error recovery
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- Model availability checks
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- Usage tracking
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## Integration Points
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### External Dependencies
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- **DeepInfra API**: Primary service dependency
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- **Model Catalog**: deepinfra.com/models for browsing
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- **Authentication**: Bearer token via API key
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### Internal Integration
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- **Provider Registry**: Registered as "deepinfra" provider
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- **Model Cache**: 5-minute TTL for model lists
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- **Cost Calculation**: OpenAI-style pricing model
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- **Streaming**: Full streaming support with usage metrics
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- **Context Management**: Supports Roo's context window handling
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### Data Flow
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```
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User Input → Roo Code → DeepInfraHandler → DeepInfra API
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↓ ↓
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Token Counting Model Processing
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↓ ↓
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Cost Calculation Streaming Response
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↓ ↓
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UI Update ← Stream Processing ← API Response
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```
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## Security Considerations
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### API Key Management
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- Stored securely in VSCode settings
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- Never exposed in UI (password field)
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- Transmitted only via HTTPS
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- No key logging or debugging output
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### Data Privacy
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- Direct API communication (no proxies)
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- No request/response caching by default
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- Optional prompt caching with explicit task IDs
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- Headers identify Roo Code as source
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## Performance Characteristics
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### Response Times
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- Initial connection: ~200-500ms
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- First token: ~500-1000ms (model dependent)
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- Streaming rate: 50-200 tokens/second
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- Model list fetch: ~500ms
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### Resource Usage
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- Minimal memory overhead
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- No local model storage
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- Efficient streaming processing
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- Automatic connection pooling
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## Error Handling
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### Common Error Scenarios
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1. **Invalid API Key**
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- Clear error message to user
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- Falls back to no models available
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- Suggests checking API key
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2. **Network Timeout**
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- Automatic retry with backoff
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- User-friendly timeout message
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- Manual refresh option
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3. **Model Unavailable**
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- Automatic fallback to default
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- Warning shown to user
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- Model list refresh suggested
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4. **Rate Limiting**
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- Respects rate limit headers
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- Automatic request throttling
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- User notification of limits
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## Documentation Recommendations
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### Critical Areas for User Documentation
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1. **Getting Started Guide**
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- How to obtain DeepInfra API key
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- Step-by-step setup screenshots
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- Model selection guidance
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- First conversation example
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2. **Model Selection Guide**
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- Comparison of available models
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- Use case recommendations
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- Performance vs. cost tradeoffs
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- Context window considerations
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3. **Troubleshooting Section**
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- Common error messages and fixes
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- API key validation steps
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- Network configuration tips
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- Model availability checking
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### Developer Integration Guide
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1. **API Configuration**
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- Custom base URL setup
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- Header customization
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- Proxy configuration
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- Enterprise deployment
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2. **Advanced Features**
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- Prompt caching strategies
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- Vision model usage
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- Reasoning model handling
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- Cost optimization tips
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## Summary for Documentation Team
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This extraction report provides comprehensive details about the DeepInfra provider integration in Roo Code. The implementation offers a seamless user experience with automatic model discovery, intelligent fallbacks, and comprehensive error handling.
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Key highlights for documentation:
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- Simple one-time setup with just

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