micro_routing - Dynamic Routing (Placeholder Implementation)
Placeholder implementation for dynamic routing in micro-neural networks
⚠️ This crate contains mostly stub implementations and placeholder code. The routing functionality described in the documentation is not yet implemented. This serves as a design specification and API outline for future development.
⚠️ Current Implementation Status
✅ What Exists
- Basic Type Definitions: Empty struct definitions for routing components
- Default Implementations: Minimal default trait implementations
- Module Structure: Organized module layout for future implementation
- Integration: Basic integration with micro_core types
❌ What's Missing (Most Everything)
- Actual Routing Logic: No real routing algorithms implemented
- Context Management: Context tracking is stub code only
- Neural Gating: No neural network-based routing
- Performance Optimization: No actual performance considerations
- Load Balancing: Not implemented
- Rule-Based Routing: Not implemented
📦 Installation
Add this to your Cargo.toml
:
[]
= { = "../micro_routing" }
= { = "../micro_core" }
🏗️ Current API (Placeholder)
Basic Types
use ;
// All of these are empty structs with default implementations
let router = default;
let config = default;
let decision = default;
// No actual functionality implemented
Integration with micro_core
use ;
use ;
// Re-exports work, but no routing logic exists
let vector = zero;
println!;
🎯 Planned Architecture (Not Implemented)
The following describes the intended design, not the current implementation:
1. Dynamic Router System
// PLANNED API (not implemented)
use ;
let mut router = new;
router.register_agent;
let plan = router.route; // Would return routing decision
2. Context Management
// PLANNED API (not implemented)
use ;
let mut context = new;
context.add_interaction;
let context_vector = context.get_context_vector;
3. Gating Networks
// PLANNED API (not implemented)
use ;
let config = GatingConfig ;
let mut gating_net = new;
let probabilities = gating_net.forward;
📋 Implementation Roadmap
Phase 1: Core Routing
- Implement basic routing decision logic
- Add rule-based routing with pattern matching
- Create context tracking and management
- Add execution plan generation
Phase 2: Advanced Routing
- Implement neural gating networks
- Add context-aware routing with history
- Create hybrid routing strategies
- Add performance metrics and monitoring
Phase 3: Optimization
- Load balancing across agents
- Parallel execution planning
- Caching and optimization
- Integration with micro_swarm orchestrator
🔧 Current Module Structure
micro_routing/
├── src/
│ ├── lib.rs # Basic re-exports and type definitions
│ ├── router.rs # Stub router implementation
│ ├── context.rs # Placeholder context management
│ ├── gating.rs # Empty gating network stubs
│ └── plan.rs # Execution plan placeholders
📊 Intended Performance Characteristics
These are planned targets, not current performance:
Operation | Target Latency | Notes |
---|---|---|
Rule-Based Routing | <10 μs | Pattern matching |
Neural Gating | <100 μs | Small network forward pass |
Context Lookup | <1 μs | Hash table lookup |
Plan Generation | <20 μs | Decision tree traversal |
🧪 Testing
# Currently only tests basic compilation and default implementations
# No meaningful functionality to test yet
⚠️ Known Issues
- No Functionality: Almost everything is placeholder code
- Compilation Only: Code compiles but doesn't do meaningful work
- Missing Dependencies: Some planned features need additional crates
- API Changes: API will likely change significantly during implementation
- No Error Handling: Proper error types not yet defined
🤝 Contributing
This crate needs significant development work. Priority contributions:
- Core Routing Logic: Implement actual routing algorithms
- Context Management: Build working context tracking
- Neural Networks: Add gating network implementations
- Testing: Create comprehensive test suite
- Documentation: Update docs to match implementation
Implementation Guidelines
When implementing routing functionality:
- Follow the existing type signatures where possible
- Integrate with micro_core's RootVector and error types
- Maintain no_std compatibility where feasible
- Add comprehensive tests for each component
- Document all public APIs with examples
📄 License
Licensed under either of:
- Apache License, Version 2.0 (LICENSE-APACHE)
- MIT License (LICENSE-MIT)
at your option.
🔗 Related Crates
micro_core
: Core types and mathematical structuresmicro_cartan_attn
: Attention mechanisms for routingmicro_metrics
: Performance monitoringmicro_swarm
: High-level orchestration
Part of the rUv-FANN Semantic Cartan Matrix system - Currently a placeholder for future routing implementation.