User-Agent Headers
Implementation guide for custom User-Agent headers in API requests
User-Agent Headers
Overview
This document outlines our approach to implementing and managing custom User-Agent headers in API requests. The User-Agent header provides valuable information about the client application, device, and environment to backend services, supporting analytics, troubleshooting, and client-specific optimizations.
Our implementation builds upon the established Header Customization Architecture architecture, extending it with specific patterns for creating, standardizing, and managing User-Agent headers across all API clients.
Quick Start
To quickly implement custom User-Agent headers in your application, follow these steps:
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Define User-Agent constants:
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Create a basic User-Agent provider:
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Register with your API client:
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Verify implementation:
For more advanced features like extensions, caching, and domain-specific customizations, continue reading the sections below.
Purpose & Scope
This guide establishes:
- A standardized format for User-Agent headers in our application
- Implementation patterns for dynamic User-Agent generation
- Methods for extending the base User-Agent with feature-specific information
- Testing strategies for User-Agent implementations
- Analytics and monitoring considerations
This document is intended for developers working on API integrations who need to implement proper client identification and versioning across API requests.
Prerequisites
To effectively use this guide, you should be familiar with:
- Header Customization Architecture - Our core architecture for header management
- API Client Architecture - The standard API client structure
- Domain Architecture Guide - For understanding domain vs. shared code organization
User-Agent Format Specification
Our custom User-Agent follows a structured format that provides comprehensive client information while maintaining readability:
Where:
AppName: The name of our application (e.g., "MyApp")AppVersion: Semantic version of the application (e.g., "1.2.3")Device: Device model information (e.g., "iPhone13,4")OS: Operating system name (e.g., "iOS")OSVersion: Operating system version (e.g., "15.4.1")Environment: Optional environment identifier (e.g., "DEV", "STAGING", "PROD")Extension: Optional component or library identifierExtensionVersion: Version of the extension component
Examples:
This structured format allows server-side systems to easily parse and extract client information for analytics, feature toggling, client-specific optimizations, and debugging.
Core Components
1. User-Agent Provider
Building on the HeaderProvider interface from the header-customization document, we implement a specialized provider for User-Agent headers:
2. Adding User-Agent Headers to API Constants
Extend the existing header constants to include User-Agent related headers:
3. Configuration Provider
Create a central configuration source for User-Agent components:
Implementation Patterns
1. Basic Implementation with API Clients
Register the User-Agent provider with API clients during initialization:
2. Feature-Specific Extensions
Extend the User-Agent with feature-specific information:
3. Dynamic User-Agent Composition
For User-Agent properties that change during app usage:
4. Enhanced User-Agent Provider with Caching
For performance optimization, especially on slower devices:
Testing User-Agent Implementation
Server-Side User-Agent Handling
While server-side implementation is beyond the scope of this document, understanding how your User-Agent is processed is valuable for client-side developers.
Expected Server-Side Processing
Best Practices
User-Agent Construction
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(Do ✅) Follow the Standardized Format: Adhere to the specified format for consistency and reliable parsing.
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(Do ✅) Include Essential Information: Always include app name, version, device model, OS, and OS version.
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(Do ✅) Use Semantic Versioning: Follow semantic versioning for all version strings (X.Y.Z format).
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(Consider 🤔) Include Build Number: For more precise version tracking, include build number after the semantic version.
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(Don't ❌) Include Sensitive Information: Never include user identifiers, authentication tokens, or other sensitive data.
Feature Extensions
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(Do ✅) Use Descriptive Extension Names: Choose clear, concise names that identify the feature or module.
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(Do ✅) Version Extensions Separately: Each extension should have its own version that can evolve independently.
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(Do ✅) Register Extensions Early: Register extensions during module initialization to ensure they're included in all requests.
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(Don't ❌) Over-extend: Limit extensions to important modules that require tracking. Too many extensions make the User-Agent unwieldy.
Performance Considerations
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(Consider 🤔) Implement Caching: For better performance, cache the User-Agent string and rebuild only when necessary.
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(Do ✅) Lazy-load Device Information: Some device information is expensive to collect; consider lazy-loading these values.
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(Consider 🤔) Use Async Factory Pattern: If initialization is complex, consider an async factory pattern for the provider.
Analytics and Monitoring
Tracking Client Distribution
The User-Agent header can be utilized by analytics systems to track client distribution metrics:
- App version adoption rates
- OS version distribution
- Device type popularity
- Environment usage (useful for pre-release testing)
Error Correlation
User-Agents can help correlate errors with specific client configurations:
- Identify version-specific bugs
- Discover device-specific issues
- Monitor error rates across different OS versions
Design Principles
Core Architectural Principles
We've designed our User-Agent implementation around these key principles to ensure it meets both technical and business needs:
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Standardization
- Consistent User-Agent format across all API clients helps create a unified approach
- Predictable extension mechanism makes it easy for teams to add their components
- Reliable parsing patterns enable straightforward server-side analysis
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Extensibility
- Modules can register their own extensions, allowing feature teams to work independently
- Format accommodates future additions without requiring architectural changes
- Dynamic composition based on application state provides contextual information
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Performance
- Efficient generation with caching minimizes impact on application responsiveness
- Minimal impact on API request overhead keeps network operations fast
- Optimized for mobile environments where resources and battery life matter
Trade-offs and Design Decisions
| Decision | Benefits | Drawbacks | Rationale |
|---|---|---|---|
| Custom format vs. standard browser format | Tailored for mobile app needs, structured for easy parsing | Less familiar to developers used to browser User-Agents | Mobile apps have different identification needs than browsers |
| Extension mechanism | Modular, allows features to self-identify | Increases User-Agent length | The benefits of feature-specific tracking outweigh the minimal size increase |
| Singleton provider instance | Consistent User-Agent across all clients, simpler state management | Less flexibility for different clients | Consistency in client identification is more important than per-client customization |
| Caching User-Agent string | Improved performance, especially on slower devices | Potential staleness if device properties change | Device properties rarely change during app execution; performance gains justify minimal risk |
Migration Considerations
If you're transitioning to this structured User-Agent approach, consider the following migration paths:
From Default User-Agent
If you're currently using the default React Native User-Agent or no User-Agent at all:
- Document current backend dependencies - Identify any server-side code that may depend on existing User-Agent patterns
- Create a mapping - Develop a mapping between existing User-Agent data and your new format
- Implement dual processing - Configure backend services to handle both formats during transition
- Roll out incrementally - Deploy to a subset of users first to verify backend compatibility
- Monitor for errors - Watch for unexpected behaviors related to User-Agent parsing
From Unstructured Custom User-Agent
If you already use a custom User-Agent but want to standardize it:
- Parse and map - Analyze your current format and map fields to the new structure
- Server-side updates - Update any server-side parsing logic to handle the new format
- Maintain compatibility - Consider including legacy identifiers alongside new format initially
- Version your format - Include format version markers if making significant structural changes
- Staggered deployment - Deploy to internal users first, then beta users, then production
From Multiple User-Agent Strategies
If different API clients currently use different User-Agent strategies:
- Inventory current approaches - Document all existing User-Agent implementations
- Unified provider - Implement the central UserAgentHeaderProvider
- Progressive migration - Convert one client at a time to the new provider
- Validate each migration - Test each API client thoroughly after conversion
- Remove legacy code - Clean up old User-Agent code after full migration
Related Documents
- Header Customization Architecture - The foundation for our header management architecture
- API Client Architecture - Core API client implementation patterns
- Authentication Architecture - Token management and session handling
- Multi-API Architecture - For service-specific configurations
Summary
Implementing a standardized User-Agent format provides valuable insights for analytics, debugging, and client-specific optimizations. By following the patterns in this document, you can ensure consistent, informative client identification across all API requests while maintaining flexibility for feature-specific extensions.
Key takeaways:
- Use the structured User-Agent format to provide comprehensive client information
- Implement the
UserAgentHeaderProviderto generate and manage User-Agent headers - Register the provider with all API clients to ensure consistent application
- Allow features to extend the User-Agent with their own identifiers
- Consider performance optimizations like caching for mobile environments
- Leverage User-Agent data for analytics and error correlation
This consistent approach to User-Agent implementation enhances the overall API integration architecture by providing valuable context to backend services while maintaining the flexibility needed in a complex mobile application.