micro_routing 0.2.0

Dynamic routing and context management for micro-neural networks
Documentation

micro_routing - Dynamic Routing (Placeholder Implementation)

Crates.io Documentation License

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:

[dependencies]
micro_routing = { path = "../micro_routing" }
micro_core = { path = "../micro_core" }

🏗️ Current API (Placeholder)

Basic Types

use micro_routing::{DynamicRouter, RouterConfig, RoutingDecision};

// All of these are empty structs with default implementations
let router = DynamicRouter::default();
let config = RouterConfig::default();
let decision = RoutingDecision::default();

// No actual functionality implemented

Integration with micro_core

use micro_routing::{RootVector, ROOT_DIM, MicroNet};
use micro_core::{Error, Result};

// Re-exports work, but no routing logic exists
let vector = RootVector::zero();
println!("Vector has {} dimensions", ROOT_DIM);

🎯 Planned Architecture (Not Implemented)

The following describes the intended design, not the current implementation:

1. Dynamic Router System

// PLANNED API (not implemented)
use micro_routing::{Router, RoutingStrategy};

let mut router = Router::new(RoutingStrategy::Hybrid);
router.register_agent("reasoning", Box::new(reasoning_agent));
let plan = router.route(&input, &context); // Would return routing decision

2. Context Management

// PLANNED API (not implemented)
use micro_routing::{Context, ContextManager};

let mut context = Context::new();
context.add_interaction("agent_id", success_score);
let context_vector = context.get_context_vector();

3. Gating Networks

// PLANNED API (not implemented)
use micro_routing::{GatingNetwork, GatingConfig};

let config = GatingConfig {
    input_dim: 32,
    hidden_dim: 64,
    num_agents: 8,
    temperature: 2.0,
};

let mut gating_net = GatingNetwork::new(config);
let probabilities = gating_net.forward(&input);

📋 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
cargo test

# No meaningful functionality to test yet
cargo test --features integration-tests

⚠️ Known Issues

  1. No Functionality: Almost everything is placeholder code
  2. Compilation Only: Code compiles but doesn't do meaningful work
  3. Missing Dependencies: Some planned features need additional crates
  4. API Changes: API will likely change significantly during implementation
  5. No Error Handling: Proper error types not yet defined

🤝 Contributing

This crate needs significant development work. Priority contributions:

  1. Core Routing Logic: Implement actual routing algorithms
  2. Context Management: Build working context tracking
  3. Neural Networks: Add gating network implementations
  4. Testing: Create comprehensive test suite
  5. 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:

at your option.

🔗 Related Crates


Part of the rUv-FANN Semantic Cartan Matrix system - Currently a placeholder for future routing implementation.