CHANGELOG-v1.2.0.mdโข7.62 kB
# Smart AI Bridge v1.2.0 - Dynamic Token Scaling
**Release Date**: 2025-11-03
**Type**: Minor Feature Release
**Breaking Changes**: None
**Migration Required**: No
---
## ๐ New Features
### Dynamic Token Allocation System
Automatically scales token limits based on request complexity and backend capabilities.
**Token Allocation Strategy**:
- **Unity Generation**: 16,384 tokens for large game development scripts
- **Complex Requests**: 8,192 tokens for comprehensive code generation
- **Simple Queries**: 2,048 tokens for fast, efficient responses
- **Fallback**: 4,096 tokens for medium complexity operations
**Intelligent Detection**:
- Unity/MonoBehaviour pattern recognition
- Complex generation keyword analysis
- Large codebase size estimation
- Automatic prompt complexity assessment
**Backend-Aware Limits**:
- Respects individual backend maximum token capacities
- Local Qwen: 65,536 tokens (YARN extended)
- Gemini Pro: 32,768 tokens
- NVIDIA DeepSeek: 8,192 tokens
- NVIDIA Qwen3: 32,768 tokens
---
## โจ Improvements
### Enhanced AI Routing
- Token optimization integrated with multi-backend routing
- Improved resource allocation for Unity game development
- Better performance for simple queries through reduced token overhead
- Intelligent fallback when requests exceed backend limits
### Modular Architecture
- New `DynamicTokenManager` class for clean separation of concerns
- Configurable token thresholds via constructor
- Optional logging for production environments
- Pure computation module with no external dependencies
---
## ๐ Technical Details
### New Module
**File**: `dynamic-token-manager.js`
**Export**: `DynamicTokenManager` class + singleton instance
**API**:
```javascript
import { DynamicTokenManager, dynamicTokenManager } from './dynamic-token-manager.js';
// Use default singleton
const tokens = dynamicTokenManager.calculateDynamicTokenLimit(
prompt,
'local',
{ enableLogging: true }
);
// Or create custom instance
const manager = new DynamicTokenManager({
unity_generation_tokens: 20000,
complex_request_tokens: 10000,
simple_request_tokens: 2000,
fallback_tokens: 5000
});
```
### Detection Patterns
**Unity Recognition**:
```regex
/unity|monobehaviour|gameobject|transform|rigidbody|
collider|animation|shader|script.*generation|
generate.*unity|create.*unity.*script/i
```
**Complex Generation**:
```regex
/generate|create|build|write.*script|
complete.*implementation|full.*code|entire.*system/i
```
**Large Codebase**:
```javascript
tokenCount > 8000 || /multi.*file|entire.*project|complete.*system/i
```
### Configuration Options
```javascript
{
local_max: 65536, // Local model max tokens
gemini_max: 32768, // Gemini Pro max
nvidia_deepseek_max: 8192, // DeepSeek max
nvidia_qwen_max: 32768, // Qwen3 max
unity_generation_tokens: 16384, // Unity scripts
complex_request_tokens: 8192, // Complex operations
simple_request_tokens: 2048, // Simple requests
fallback_tokens: 4096 // Medium complexity
}
```
---
## ๐ก๏ธ Security
- โ
No hardcoded credentials or API keys
- โ
Environment-based configuration supported
- โ
Follows Smart AI Bridge security patterns
- โ
No external dependencies or API calls
- โ
Configurable logging (can be disabled)
- โ
Passed comprehensive security audit
---
## ๐ Backward Compatibility
**Zero Breaking Changes**:
- All existing APIs remain unchanged
- Existing configurations continue to work
- Dynamic token scaling is automatic and transparent
- No required configuration updates
**Optional Enhancements**:
- Customize token limits via `DynamicTokenManager` if desired
- Existing hardcoded `maxTokens` values still respected
- Fallback behavior preserved for edge cases
---
## ๐ Documentation Updates
- โ
README.md: Added Dynamic Token Scaling section
- โ
CONFIGURATION.md: Token configuration guide
- โ
EXAMPLES.md: Usage examples with different request types
- โ
API documentation: DynamicTokenManager class reference
---
## ๐งช Migration Guide
### From v1.1.x to v1.2.0
**No action required** - dynamic token scaling works automatically!
**Optional Customization**:
```javascript
// In your Smart AI Bridge initialization
import { DynamicTokenManager } from './dynamic-token-manager.js';
const tokenManager = new DynamicTokenManager({
// Override defaults if needed
unity_generation_tokens: 20000,
complex_request_tokens: 10000
});
// Use in request handling
const optimalTokens = tokenManager.calculateDynamicTokenLimit(
userPrompt,
selectedBackend
);
```
---
## โ๏ธ Use Cases
### 1. Unity Game Development
**Before v1.2.0**:
- Fixed token limits regardless of script size
- May truncate large MonoBehaviour scripts
- Manual token adjustment required
**With v1.2.0**:
- Automatic 16K token allocation for Unity scripts
- Handles large character controllers, AI systems
- No manual intervention needed
**Example**:
```javascript
const prompt = "Create a Unity C# script for third-person character movement with camera controls";
// Automatically allocates 16,384 tokens
```
### 2. Complex Code Generation
**Before v1.2.0**:
- Same token allocation for simple and complex requests
- Inefficient resource usage
**With v1.2.0**:
- 8K tokens for complex multi-file generation
- 2K tokens for simple queries
- Optimized performance and cost
**Example**:
```javascript
const complexPrompt = "Generate a complete REST API with authentication, database models, and tests";
// Allocates 8,192 tokens
const simplePrompt = "What is a closure?";
// Allocates 2,048 tokens (efficient!)
```
### 3. Backend-Specific Optimization
**Before v1.2.0**:
- May request more tokens than backend supports
- Potential errors or truncation
**With v1.2.0**:
- Respects backend limits automatically
- Intelligent fallback to maximum available
**Example**:
```javascript
const unityPrompt = "Create Unity player controller";
// Requests 16K tokens
// DeepSeek backend: Limited to 8K (backend max)
// Local backend: Full 16K allocated
```
---
## ๐ก Performance Impact
**Improvements**:
- โ
Simple queries: ~75% reduction in token usage (2K vs 8K)
- โ
Unity generation: +100% token allocation (16K vs 8K)
- โ
Resource optimization: Better cost efficiency
- โ
Response time: Faster for simple queries
**Benchmarks** (estimated):
- Simple query ("What is X?"): 2K tokens, ~0.5s faster
- Complex generation: 8K tokens, same performance
- Unity script: 16K tokens, complete output (no truncation)
---
## ๐ Related Changes
This release builds on Smart AI Bridge v1.1.1 features:
- Conversation threading and continuity
- Usage analytics and cost tracking
- Local AI service auto-discovery
- Multi-backend smart routing
- Security-hardened architecture
**All existing features preserved and enhanced.**
---
## ๐ Future Roadmap
Potential enhancements for v1.3.0+:
- Machine learning-based complexity detection
- User-specific token preference profiles
- Dynamic timeout scaling (similar to token scaling)
- Per-user token usage analytics
- Adaptive learning from success rates
---
## ๐ฌ Feedback
We'd love to hear your experience with dynamic token scaling!
- GitHub Issues: Report bugs or request features
- GitHub Discussions: Share use cases and best practices
- Pull Requests: Contribute improvements
---
## ๐ Credits
**Development**: Claude Code automation
**Testing**: Integration test suite
**Security**: Automated security audit
**Documentation**: Comprehensive guides and examples
---
**Enjoy Smart AI Bridge v1.2.0! ๐**